Primarily UK participants
Note some of the studies reviewed in this table utilize student samples. As specified in the inclusion criteria section we targeted non-student samples and only utilized student samples where others were not available or not appropriate.
When users require a comprehensive measure of trait EI, the long form of the TEIQue is also a good option (see Table 5 ). Although not as widely researched as the short version, the long version nevertheless has strong empirical support for reliability and validity. The long form is likely to be particularly useful for coaching and training purposes, because the use of 15 narrow facets allows for more focused training and intervention than measures with fewer broad facets/factors.
The most researched and supported measure of ability EI is the Mayer, Salovey, Caruso Emotional Intelligence Test (MSCEIT) (see Tables 2 , ,3). 3 ). It has been cited in more than 1,500 academic studies. It uses a 4 branch approach to ability EI and measures ability dimensions of perceiving emotions, facilitating thought, understanding emotions and managing emotions. These scales broadly map onto the broad constructs present in many measures of EI as follows: facilitating thought = strategically utilizing emotions, perceiving emotions = perceiving emotions in self and others, understanding emotions = understanding emotions, and managing emotions = regulating emotions in self and others. However, this is a highly commercialized test and relatively expensive to use. The test is also relatively long (141 items) and time consuming to complete (30–45 min).
Summary of major emotional Intelligence assessment measures.
Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) Mayer et al. ( , , ) Cited in more than 1,500 articles | In 1997 Salovey and Mayer developed a 4 branch approach to ability EI called MEIS and since then this has been developed into the MSCEIT (Mayer et al., , ) and revised with additional versions. The revised model is a process-orientated model that emphasizes stages of development in EI, potential for growth and the contributions emotions make to intellectual growth. The scale was developed based on a review of ability EI literature around focusing on individuals' processing of emotion related information. Each of the four branches is measured with two objective, ability-based tasks. There are different response formats. Some tasks such as the “picture task,” use 5-point rating scales, whereas other tasks, such as the “blends task,” use a multiple-choice response. For all questions however, answers can be considered correct or incorrect in a similar way to IQ tests. The facets can be defined as follows: Perceiving Emotion represents the ability to correctly identify how oneself and others are feeling. Facilitating Thought represents the ability to create emotions that impact thought processes. Understanding Emotion represents the ability to understand the causes of emotions. Managing Emotion represents the ability to create effective strategies that utilize emotions for a specific purpose. | Consists of 8 MSCEIT tasks which are made up of a number of individual items. 141 questions in total. 4 constructs including: Perceiving Emotions; Facilitating Thought; Understanding Emotions; Managing Emotions. | In the faces task (four item parcels; 5 responses each), participants view a series of faces and for each, respond on a five-point scale, indicating the degree to which a specific emotion is present in the face. | Cost Website |
Self-report Emotional Intelligence Test (SREIT) Schutte et al. ( ) Cited in more than 3,000 articles | Schutte et al. ( ) developed a self-report EI questionnaire based on Salovey and Mayer's ( ) model. A factor analysis was conducted on 62 items using data from 346 participants from which a 33-item scale was created. The measure showed good internal consistency (Cronbach's alpha of 0.90) and test-retest reliability ( = 0.78). The scale was also tested against theoretically related constructs including alexithymia, non-verbal communication of affect, optimism, pessimism, attention to feelings, clarity of feelings, mood repair, depressed mood and impulsivity and found to have construct validity. The model however has been criticized for confusing ability and trait forms of EI (however this criticism can be applied to the development of most trait based models). Participants respond to items on a 5-point Likert-type scale ranging from 1 (strongly-disagree) to 5 (strongly-agree). | Consists of 33 self-report statements. Four factors including: 1. Optimism/ mood regulation 2. Appraisal of emotions 3. Social skills 4. Utilization of emotions | An example item is “I am aware of my emotions as I experience them”. | Free |
Trait Emotional Intelligence Questionnaire (TEIQue). Long Form and Short Forms. Petrides and Furnham ( ) Cited in more than 2,000 articles | The TEIQue is based on trait EI theory, which conceptualizes emotional intelligence as a personality trait. It has also been described as “emotional self-efficacy.” Unlike Schutte et al.'s ( ) measure, it did not originally aim to measure ability based EI with self-report questions. Item and facets were developed by conducting a content analysis of the EI literature and available constructs (Salovey and Mayer, ; Goleman, ; Bar-On, , ). Petrides and Furnham also created a short-form questionnaire (TEIQue-SF) which contains 30 items and the same 4 factors from the long version. Additional adaptations such as a 360 degree measure can be found on their website | Consists of 153 self-report statements. Four factors and 15 facets including: 1.Well-being (Trait optimism, trait happiness and self-esteem); 2. Sociability (Emotional management (others), assertiveness and social awareness); 3. Emotionality (trait empathy, emotional perception, emotion expression and relationships); 4. Self-control (emotion regulation, impulsiveness and stress management). | Example items include: “Understanding the needs and desires of others is not a problem for me”; “I'm usually able to influence the way other people feel” and “I can handle most difficulties in my life in a cool and composed manner.” | Cost. Not freely available for commercial use. Details for obtaining permission are on website. Free for research purposes. |
Bar-On Emotional Quotient Inventory (EQ-i) Bar-On ( , , ) Cited in more than 1,000 articles | Mixed position, considers EI as a mixed construct consisting of both cognitive ability and personality aspects. The scale emphasizes how the personality traits influence a person's general well-being. Bar-On's model was based on empirical research into personal factors related to EI and particularly into emotional and social elements of behavior. The concept was theoretically developed from logically clustering variables and identifying underlying key factors claimed to determine effective and successful functioning. The EQ-i measures abilities and the potential for performance rather than performance itself; it is process-oriented, rather than outcome-oriented. Bar-On's original report of EQ-i from 1996 is in a book form. However, since the development of the original EQ-i scale, Bar-On and others have revised the scale (Bar-On et al., ) thus creating EQ-i 2.0. The total EQ-i can be used to create total EI scores as well as factor and facet/subscale scores. The subscales have adequate internal consistency. Bar-On went on to develop additional test versions including a youth version (EQ-i:YV) and 360 multi-rater measure (EQ-360). | Revised model consists of 125 items. Five factors, 15 facets (subscales) including: 1. Self-Perception (Self-Regard, Self-Actualization, Emotional Self Awareness) 2. Interpersonal (Interpersonal Relationships, Empathy Social Responsibility) 3. Decision Making (Problem Solving, Reality Testing, Impulse Control) 4. Self-Expression (Emotional Expression, Assertiveness Independence) 5. Stress Management (Flexibility Stress Tolerance, Optimism) | Example items include: “When I'm angry with others, I can tell them about it,” “I know how to deal with upsetting problems,” and “I like helping people.” | Cost |
The situational test of emotion management (STEM). The situational test of emotional understanding (STEU) MacCann and Roberts ( ) Cited in more than 250 articles | MacCann and Roberts ( ) developed ability-based measures of EI. MacCann and Roberts based their STEM and STEU scales on 2 of the four hierarchical ordered branches of emotion-related abilities outlined by Mayer et al. ( ): understanding and managing emotions which form the Strategic EI area (Mayer et al., ). The STEM was developed to be administered in both multiple-choice and rate-the-extent formats (i.e., test takers rate the appropriateness, strength, or extent of each alternative, rather than selecting the correct alternative). Items for STEM were developed by conducting semi-structured interviews with 50 individuals who described emotional situations they experienced in the past 2 weeks (with a total of 290 situations). These items were categorized and tested. Roseman's ( ) emotion appraisal theory was used as the basis for item construction and scoring of the STEU such that answers could be regarded as correct or incorrect. According to this model, the 17 most common emotions can be explained by a combination of seven appraisal dimensions. The STEU comprised 42 items with each item presenting emotional situations, and participants had to choose which emotion the situation will most likely elicit. Fourteen emotions were assessed in 3 separate contexts—de-contextualized, work and private life. | STEM−44 items Anger (18 items); sadness (14 items) and fear (12 items). STEU −42 items (14 context-reduced, 14 with a personal-life context, and 14 with a workplace context. | STEU—workplace example assessing relief includes: a supervisor who is unpleasant to work for leaves Alfonso's work. Alfonso is most likely to feel? (a) joy, (b) hope, (c) regret, (d) relief, (e) sadness | Can be freely obtained in Appendix 2.1 of MacCann's ( ) study. However permission is required to use the test for non-research purposes. |
Emotional and Social Competence Inventory (ESCI). Boyatzis et al. ( ) Cited in more than 1,500 articles | The ESCI is based on a mixed model of EI and regards EI as consisting of both cognitive ability and personality aspects. The model focuses heavily on predicting workplace success. The ESCI utilizes 360 degree assessment that can include self-ratings, peer ratings and supervisor ratings. Boyatzis and Goleman include a set of emotional competencies within each construct of EI. Emotional competencies are not regarded as innate talents, but rather learned capabilities that must be worked on and can be developed to achieve outstanding performance. Boyatzis and Goleman argue that individuals are born with a general emotional intelligence potential that determines their potential for learning emotional competencies. Internal consistency of the scales ranges from 0.61 to 0.85 (Conte, ). | Consists of 110 items Assesses 12 competencies organized into four factors: 1.Self awareness 2. Social awareness 3. Self-Management 4. Relationship management | Example items includes: “I recognize my emotions and their effects on others,” and “I can keep disruptive emptions or impulses under control.” | Cost |
Note the measures reviewed above were selected based on widespread use and validation. Although other measures exist, they were not reviewed based on either less research in general or poor psychometric support. However, if none of those reviewed above are considered appropriate, three further available measures could be considered. One relatively new measure with good preliminary support is the Genos Emotional Intelligence Inventory (Palmer et al., 2009 ). This is a commercial, mixed measure of EI and requires payment. A further, freely available measure is Wong's Emotional Intelligence Scale (WEIS) (trait-based; see Wong et al., 2004 , 2007 ). A third very new measure is the Geneva Emotional Competence Test (GECo) (see Schlegel and Mortillaro, 2019 ). It is an ability based measure designed for the workplace that looks very promising based on early work .
Review of selected studies detailing psychometric properties of the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT).
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Mayer et al. ( , , ) Multiple countries, primarily USA sample. | = 2,112 individuals from academic settings across multiple countries. mean age was 26.25 years. Gender: 58.6% female. | The design was cross sectional: participants completed the MSCEIT. The test was administered via booklet or online. Scoring was based on how well-respondents' answers aligned with an expert sample (volunteer members of the International Society for Research on Emotions). | Mayer et al. ( ) reported reliabilities of 0.91 for the full scale, 0.81 for emotional management, 0.77 for emotional understanding, 0.76 for emotional facilitation, and 0.90 for emotional perception. Mayer et al. ( ) reported a test-retest reliability of 86 and a full-test split-half reliability of 0.93. | |
Brackett and Mayer ( ) USA | = 207 University students. 130 female, 77 male. Mean age was 18.93 for females and 19.51 for males. | The study aimed to investigate the convergent, discriminant and incremental validity of the MSCEIT as well as two other EI measures (EQ-i and SREIT). Participants completed a self-assessed questionnaire and were assessed on their psychological well-being, personality, subjective well-being and academic ability. | The authors did not report values for internal consistent from this study but rather cited the values from Mayer et al. (2002). The MSCEIT had discriminant validity against well-studied personality and well-being measures. Additionally, after personality and verbal intelligence were held constant, the MSCEIT was predictive of social deviance. MSCEIT scores were also found to relate positively and significantly to psychological well-being ( = 0.28, < 0.001), agreeableness ( = 0.28, < 0.001) and openness ( = 0.25, < 0.001). | The generalizability of the findings to the general working population may be limited due to the student sample. |
Rosete and Ciarrochi ( ) Australia | = 41 Executives from a large Australian Public Service organization : 24 male and 18 female. : Age ranged from 27 to 57 with an average age of 42 years. : 75% of participants had been in the organization for 10 years or more. | Participants were sought from the organization to participate in a career development exercise. Questionnaires were completed via pen or paper or online. Participants completed the MSCEIT (V2.0), along with a measure of personality traits, and a measure of cognitive ability. Leadership effectiveness was assessed using an objective measure of performance and a 360 degree assessment involving each leader's subordinates and direct manager ( = 149). | The authors did not report values for internal consistency from this study but rather cited the values from Mayer et al. (2002). The study found that scores from the MSCEIT were correlated with cognitive intelligence, specifically verbal IQ ( = 0.336, < 0.05); performance IQ ( = 0.402, < 0.05), and full scale IQ ( = 0.430, < 0.01). | The findings should be generalized with caution due to the small sample size and one industry sampled. Similarly, the executives in this study had significantly higher IQs than the average population which could also limit the generalizability of results. |
Ruiz-Aranda et al. ( ) Spain | = 264 University students from the School of Health and Science—Specifically, students studying nursing, physiotherapy, occupational therapy and chiropody. All female. Ages ranged from 18 to 50 with a mean age of 21 years. | Participants completed a Spanish version of the MSCEIT along with measures of well-being (life-satisfaction and happiness) and perceived stress. | Total score Cronbach's alpha was 0.76. Higher EI scores were found to be related to lower levels of perceived stress and higher levels of life satisfaction and happiness. | The sample was made up of exclusively females, which means that the results obtained my not be generalizable to the male population. The authors also suggest the study did not control for personality which may have an impact on the results. |
Note two of the studies reviewed in this table utilize student samples. As specified in the inclusion criteria section we targeted non-student samples and only utilized student samples where others were not available or not appropriate .
A second, potentially more practical option includes two related tests of ability EI designed by MacCann and Roberts ( 2008 ) (see Tables 2 , ,7). 7 ). These tests are called the Situational Test of Emotion Management (STEM) and the Situational Test of Emotional Understanding (the STEU). These tests are becoming increasingly used in academic articles; the original paper has now been cited more than 250 times. The two aspects of ability EI measured in these tests map neatly onto two of the broad EI constructs present in multiple measures of EI. Specifically, the STEM can be regarded as a measure of emotional regulation in oneself and the STEU can be regarded as a measure of emotional understanding. As indicated in Table 7 , there is strong psychometric support for these tests (although the alpha for STEU is sometimes borderline/low). A further advantage of STEU is that it contains several items regarding workplace behavior, making it highly applicable for use in professional contexts.
Review of selected studies on psychometric properties of the STEU and STEM.
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STEU and STEM MacCann and Roberts ( ) Australia | Study 1: = 207 Sample: Psychology undergraduate students. Participants were drawn from both a rural campus and urban campus of Sydney University. Gender: 140 female. Age: Average age was 21.1 years. Study 2: = 149 Sample: Volunteers recruited from the Sydney area via advertising. Gender: 107 females. Age: Aged 18–59 with an average age of 35 years. Education: 68% of the sample had postsecondary school qualifications. | Study 1—Quasi-experimental design using self-rated scenario questionnaires in which 2 groups of participants completed two different tests. Three emotion-related criteria were also used in the study including alexithymia, life satisfaction and academic achievement. Additional measures were used to test the validity and reliability of the scale including personality and depression and anxiety. Items for the STEU were developed using Roseman's ( ) emotional appraisal theory. Items for STEM were developed through semi-structured interviews assessing emotional situations individuals had recently experienced. The items were then tested on 2 groups: undergraduate students and a community sample. | Study 1—Cronbach's alpha for the STEU was 0.71, STEM (multiple choice) was 0.68 and STEM (rate the extent) was 0.92. Study 2—Cronbach's alpha for the STEU was 0.42 and STEM (30 item) was 0.61. Relationships were established between STEU/STEM and vocabulary and university grades. Study 2—The STEU correlated with Anxiety ( = −0.25, < 0.01) and Stress ( = −0.17, < 0.05), but not with Depression ( = −0.15, ns). The STEM correlated with Anxiety ( = −0.27, < 0.01), Stress ( = −0.26, < 0.01), and Depression ( = −0.17, < 0.05). Both the STEU and STEM incrementally predicted students' psychology grades, and the STEU also incrementally predicted students' overall grades. | The validation had some issues. Further validation of the measures is need such as against the full MSCEIT scale. The author suggests that a video or audio based version (rather than text) would also be useful to determine whether relationships of EI to intelligence are due to cognitive processing of emotional information rather than to the verbal ability required to comprehend the text-based items. |
Austin ( ) UK | = 339 Sample: Undergraduate students Gender: 238 females, 101 males. Age: Average age was 21.96 years. | The aim of the research was to assess the STEM and STEU measures against other ability measures such as MSCEIT. Participants were recruited via a website advertising research participation. Participant were divided into 2 groups (G1 = 104; G2 = 135) and completed a number of different EI ability measures with group 1 also being assessed on the TEIQue EI trait measure. | Cronbach's alpha for STEM was 0.67 and 0.48 for STEU. | The study used an undergraduate student sample therefore generalizability to the working population may be limited. The reliability for the STEM was considered adequate however the reliability for the STEU was quite low, especially when compared to the MSCEIT Cronbach's alpha of 0.90 shown in the study. |
Grant ( ) USA | = 100 Sample: employees at an optometry company headquarters. Positions: managers (25%), patient services representatives (19%), optical consultants and sales representatives (18%), technicians (17%), doctors (14%) and administration staff (7%). Gender: 77% were female. Age: average age was 33 years. Tenure: average tenure in the organization was 4.21 years and in their current position of 3.95 years. Education: The majority had attended college (71%) and the remaining employees had attended high school (14%) or graduate school (15%). | Self-report questionnaire design. Emails were sent to all 209 full-time employees which provided a link to an initial survey containing self-report measures of emotional labor strategies and personality traits. Once completed a second survey was sent assessing emotion regulation (EI) knowledge (on average completed 3 weeks later). Employees were assessed on their emotional regulation knowledge (measured by STEM), as well as measures such as emotional labor strategies, voice and performance evaluation, helping and extraversion. | Cronbach's alpha for the STEM was reported at 0.73. | Due to the correlational nature of the study, it makes it difficult to rule out alternative explanations for the relationships or to predict causality. Additionally, because the employees were tested for their emotional regulation knowledge (STEM) after the other constructs, this may influence the causality direction or relationship. Contextual factors were also not measured in the study that may impact the emotional regulation knowledge and strategies. Self-report measure. |
Note some of the studies reviewed in this table utilize student samples. As specified in the inclusion criteria section we targeted non-student samples and only utilized student samples where others were not available or not appropriate .
If researchers/practitioners decide to use the STEM and STEU, additional measures might be required to measure the remaining broad EI constructs present in other tests. Although these measures could all come from relevant scales of tests reviewed in this article (see Table 1 ), there is a further option. Users should consider the Diagnostic Analysis of Non-verbal Accuracy scale (DANVA) which is a widely used, validated measure of perceiving emotion in others (see Nowicki and Duke, 1994 for an introduction to the DANVA). Alternatively, for those open to using a combination of ability and trait measures, users might wish to use Schutte et al.'s ( 1998 ) SREIT to assess remaining facets of EI (see Table 4 ). This is because it is free and captures aspects of EI not measured by STEM/STEU. These include appraisal of emotions (for perceiving emotions) and utilization of emotions (for strategically utilizing emotions), respectively.
Summary of recommended emotional intelligence assessment measures for each broad EI construct.
Perceiving emotions in self and others | Self-Perception (EQ-i) | Appraisal of emotions (SREIT) |
Regulating emotions in self | Self-control (TEIQue-SF) | Optimism/mood regulation (SREIT) |
Regulating emotions in others | Sociability (TEIQue-SF) | Social skills (SREIT) |
Strategically utilizing emotions | Relationship management (ESCI) or emotionality (TEIQue-SF) | Utilization of emotions (SREIT) |
Review of selected studies detailing psychometric properties of the Self-report Emotional Intelligence Test (SREIT).
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Schutte et al. ( ) USA | = 346 Sample: University students and individuals from diverse community settings. Gender: 218 were women and 111 were men. Age: average age was 29.27 years. | Self-assessment questionnaire. All 346 participants rated themselves on the 62 EI items, with a number of participants also filling out one of several established scales to measure constructs theoretically related to EI. Additional scales included; an alexithymia scale which assessed difficulties in identifying and describing feelings; a communication test which assessed non-verbal expressiveness; a life orientation test which assessed optimism and pessimism; a mood scale including assessing attention to feelings and mood repair; a scale to measure depressed mood; and a measure of impulsiveness. | Cronbach's alpha of 0.90 was obtained. 28 students repeated the test 2 weeks later, with a test-retest reliability of 0.78. validation studies showed that scores on the 33-item measure correlated with eight of nine theoretically related constructs, including, alexithymia ( = −0.65, < 0.0001), attention to feelings ( = 0.63, < 0.0001), clarity of feelings ( = 0.52, < 0.0001), mood repair ( = 0.68, < 0.0001), optimism ( = 0.52, < 0.006), pessimism ( = −0.42, < 0.025), depression ( = −0.37, < 0.021) and impulse control ( = −0.39, < 0.003). a test was conducted on college students to assess the predictive validity. Results revealed that the EI measure completed at the start of the academic year, significantly predicted first year college grades at the end of the year ( = 0.32, < 0.01). Scores on the measure were tested against the big five personality dimensions to assess discriminant validity and were only associated with the openness to experience trait. | |
Kinman and Grant ( ) UK | = 240 Sample: Trainee social work students (69% of the sample were first-year students and 31% second-year students). Gender: 82% female Age: Mean age of 33.7 years. | Self-report questionnaire. Participants were invited to participate via email and competed the questionnaire online. The aim of the study was to explore the role of emotional and social competencies on resilience. The study also assessed measurements of reflective ability, empathy, social competence, resilience and psychological distress. | Cronbach's alpha was 0.88. Emotional Intelligence was correlated to additional measures as expected. For example EI was positively correlated with resilience ( = 0.61, < 0.001), reflective ability ( = 0.59, < 0.001), and empathy ( = 0.45, < 0.001), | The study is based on a cross-sectional and correlational data. Although some of the relationships found between emotional and social competencies and resilience and well-being were strong, cause and effect cannot be established using such methodology. |
Por et al. ( ) UK | = 130 Sample: Student nurses. Gender: 117 female, 13 male. Age: Mean age of 28 years. | Data was collected through self-report questionnaire, an audit of students' academic performance and mapping of EI teaching material. The study aimed to explore the emotional intelligence of nursing students and its relationship to perceived stress, coping strategies, subjective well-being, perceived nursing competency and academic performance. | Cronbach's alpha was 0.82. There was a strong negative correlation between EI and perceived stress ( = −0.40, < 0.01). EI was positively related to perceived nursing competency ( = 0.32, < 0.01) and subjective well-being ( = 0.27, < 0.01). | There are some limitations to the study such as the small sample size and the fact that the study only involved students that may limit the generalizability to other occupations. Data being collected at a single point in time means that potential changes in participants over time were not captured. |
Therefore, if there is a strong preference to utilize ability based measures, the STEM, STEU, and DANVA represent some very good options worth considering. The advantage of using these over the MSCEIT is the lower cost of these measures and the reduced test time. Although the STEM, STEU, and DANVA do not seem to be freely available for commercial use, they are nevertheless appropriate for commercial use and likely to be cheaper than alternative options at this point in time.
When seeking to measure EI, researchers/practitioners could choose to use (1) a single EI tool that measures overall EI along with common EI facets (i.e., perceiving emotions in self and others, regulating emotions in self and others and strategically utilizing emotions) or (2) some combination of existing scales from EI tool/s to cumulatively measure the four constructs.
The first option represents the most pragmatic and generally optimal solution because all information about the relevant facets and related measures would usually be located in a single document (e.g., test manual, journal article) or website. Additionally, if a paid test is used it would only require a single payment to a single author/institution. Furthermore, single EI tools are generally based on theoretical models of EI that have implications for training and development. For example EI facets in Goleman's ( 1995 ) model (as measured using the ESCI, Boyatzis and Goleman, 2007 ) are regarded as characteristics that can be trained. Therefore, if a single EI tool is selected, the theory underlying the tool could be used to model the interventions.
However, a disadvantage of the first option is that some EI measures will not contain the specific set of EI constructs researchers/practitioners are interested in assessing. This will often be the case when practitioners are seeking a comprehensive measure of EI but prefer a freely available measure. The second option specified above would solve this problem. However, the trade-off would be increased complexity and the absence of a single underlying theory that relates to the selected measures. Tables 2 – 8 describe facets within each measure as well as reliability and validity evidence for each facet and can be used to assist the selection of multiple measures if users choose to do this.
Review of selected studies on psychometric properties of the Emotional and Social competence Inventory (ESCI).
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Technical Manual for Emotional and Social Competence Inventory (ESCI) (Boyatzis and Goleman, —manual updated 2011) US and UK | The manual reported the development of the ECI and ESCI utilizing 3 primary samples: > 4,000 self-assessments from managers and professionals, and more than 10,000 other assessments (1998). = 116 self-assessments, 1,022 other assessments (2007). = 5,700 self-assessments and 62,000 other assessments (2,010). | The studies reported in the technical manual relate primarily to the factor structure, reliability and validity of the ESCI. The factor structure and reliability studies utilize a cross sectional design. Validity studies comprised a combination of self-report and other-reports, including other reports of performance (e.g., supervisor ratings). | The internal consistency of the 12 scales of the ESCI range from 0.79 to 0.91 ( = 52,363; published in technical manual as well as Boyatzis and Gaskin, ). This is for the “other” assessments. data was only given from the ECI, this ranged from 0.41 to 0.92. This was assessed by examining correlations with similar constructs from the MBT ( = 18 paramedics). MBTI intuiting types scored highly on several EI competencies including emotional self-awareness and self-control. MBTI feeling types scored highly on self-awareness, empathy and others. Evidence for was based on low correlations with subtests of the Watson-Glaser Critical Thinking Appraisal ( = 90 executives). Evidence for was found for self-reports of job success, life success and salary across a range of sectors < 300. | The technical manual is available online . It reports a combination of data from published industry reports as well as published peer-reviewed academic articles. |
Morrison ( ) USA | = 92 Sample: registered nurses from 3 healthcare facilities in South Mississippi. Gender: of the 92 participants, 71 were female and 21 were male. Age: age ranged from 20 to over 60 years, with 47.8% of participants between 20 and 30 years of age. Ethnicity: the majority of the nurses were Caucasian (85.9%). Education: 72.8% had a Bachelor degree in nursing. Experience: over half of the nurses had four or less years of work experience. | Cross-sectional correlational design completed by both the participant and peer reviewer. The purpose of this study was to determine if a relationship exists between emotional intelligence (EI) and preferred conflict-handling styles of registered nurses. Each participant completed the ECI 2.0 (later renamed to ESCI) as well as an instrument to measure conflict handling. The participants handed a second ECI 2.0 instrument to a known manager, peer or subordinate they had worked with in the past year. The peer, subordinate or supervisor was asked to evaluate the participant using the ECI 2.0 instrument. | The authors reported existing Cronbach's alpha scores. Cronbach's alpha for others-rating ranged from 0.73 (Trustworthiness) to 0.92 (Empathy), with an overall (other-rating) average internal consistency coefficient of 0.85. The internal consistency coefficients for self-rating ranged from 0.61 (accurate self-assessment) to 0.85 (service orientation), with an overall average internal consistency coefficient of 0.75. The study indicated a positive and statistically significant relationship between collaboration and all four of the EI clusters: self-awareness ( = 0.25), self-management ( = 0.32), social awareness ( = 0.31), and relationship management ( = 0.37). | Small sample size which could limit the generalizability. The authors also noted that an organizational climate survey could be administered to assess whether the organizational climate affects how a registered nurse responds when faced with conflict. |
Reed et al. ( ) USA | = 40 Sample: First year pediatric and medicine/pediatrics interns from a Children's Hospital. Gender: 32 females and 8 males. | Cross-sectional, self-report and peer-assessment design. The aim of the study was to determine: (1) performance of first-year pediatric residents in the delivery of bad news in a standardized patient (SP) setting; and (2) the role of EI in these assessments. Skill in bad news delivery was assessed via SP encounters using a previously published assessment tool and being exposure to a scenario. Residents completed the ESCI as a measure of EI. The ESCI was administered via a self-assessment to residents online, with eight relevant peers/supervisors invited to complete a confidential assessment of the resident. For each resident, a minimum of five other assessments were obtained and averaged to create the assessment. The assessment score was used for analysis. | : The authors noted that the internal consistency of each ESCI subscale for assessments (i.e., peer ratings) was consistently high (Cronbach's alpha was not reported). No ESCI subscales were significantly associated with residents' death notification skills, demonstrating no construct validity. | Limitations of this study include a small sample size drawn from a single institution, the use of a single SP encounter, and a reliance on only one type of bad news scenario (i.e., death notification) which is arguably among the most difficult. The study did not account for differences in trainees' previous experiences and/or training in breaking bad news and death notification. Additionally, limited reliability and validity data were obtained. |
Boyatzis et al. ( ) USA and Northern Europe | = 40 Sample: Engineers in a multi-national manufacturing company. Gender: 37 males, 3 females. Age: Age ranged from 25 to 64 years with the modal age range of 35 to 44. Employment: The average tenure in the organization was 13 years. Country: 33 were from USA and 7 from Europe. | Cross-sectional, self-report and peer-assessment design. The survey was administered online. The total number of peers completing the surveys for the 40 engineers was 168 (average of 4.2 per person). Peers reported on the perceived emotional intelligence of the participant using the ESCI as well as perceived effectiveness measured with the Reputational Effectiveness Scale (RES). Self-report measures included job engagement, cognitive intelligence, personality and quality of relationships. | : Coefficient of 0.95. This was based on the overall ESCI score since subscale scores were not used in this study. ECI correlated with engineer reputational effectiveness ( = 0.70, < 0.01) but not with general mental ability or personality. | This study presents a number of limitations. There was a small sample size which may limit the generalizability of the findings. The low response rate (5% valid responses) may have resulted in more of a volunteer bias than is often encountered in survey research in organizations. Further, due to the limited sample, it may be possible that the findings may be a function of organizational culture. Statistically speaking, the ESCI was completed by subordinates, so there could be an inflated effect due to common source. |
Review of selected studies on psychometric properties of the Emotional Quotient Inventory (EQ-i) (Bar-On, 1997a , b ).
, age, occupation, gender ratio etc.) | ||||
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Bar-On et al. ( ); Dulewicz et al. ( ); and Bar-On ( ) USA and Canada | = 3,831 Gender: 49% male, 51% female. Sample: varied occupations. Age: Age ranged from 16 to 100, with an average age of 34.3 years. Ethnicity: The sample was 79% White, 8% Asian American, 7% African American, 3% Hispanic, and 1% Native American. | The EQ-I has been developed over 17 years by Bar-On. Numerous studies have been conducted by Bar-On testing the self-report measure to establish a valid and reliable tool. Many of his earlier works were not able to be located however information was drawn from a number or sources listed to the left. | The overall internal consistency was reported at 0.97. the average stability coefficient is 0.85 after 1 month and 0.75 after 4 months. Bar-On ( ) noted 20 predictive validity studies that have been conducted on a total of 22,971 individuals across 7 counties. The EQ-i measure was found to predict performance in social interactions, at school and work as well as impacts on physical health, psychological health, self-actualization and subjective well-being. The average predictive validity coefficient is 0.59. | |
Bar-On et al. ( ) Germany | = 167 Sample: Helping professionals including police officers ( = 85) and child care and mental health care workers ( = 81). Gender: 72% male and 28% female. Age: mean age was 33.2 years. Education: the average duration of education was 11.9 years. | Self-assessment questionnaire. Used the earlier version of Bar-On's EQ-i comprising of 133 items translated to German. The study assessed occupational stress and emotional expression within different high stress helping professions, namely the police force and child care and mental health care professions. The authors examined gender, age and occupational differences. | Alpha coefficients ranged from 0.66 to 0.87 for the scales. | The authors noted that there may be social desirability bias present. Specific organizational stressors were not assessed in the study therefore there organizational or occupational differences may be present. Results may not be generalizable to the wider population due to the limited sample size. Cross-sectional study – a longitudinal study is required to assess causality. Self-report measure—this study relies on subjective self-report data. |
Dawda and Hart ( ) Canada | = 243 Sample: University students Gender: 118 men and 125 women Age: Age ranged from 17 to 47 with a mean age of 21.27 years. | Students were recruited via posters advertising an “emotions study.” The aim of the research was to assess the validity and reliability of the EQ-i measure, and was undertaken as part of a larger study examining the association between psychopathy and alexithymia. Participants completed the EQ-i measure, as well as two interview-based rating scales for alexithymia, and a range of self-report measures including alexithymia, personality, affect intensity, depression and psychosomatic complaints. | Cronbach's alpha for the full scale was 0.96 with coefficients ranging from 0.81 to 0.94 for the factors. The correlations between EI and the additional scales generally were moderate, ranging from 0.32 to 0.83. In general, people with high EQ Total scores had low levels of negative affectivity and high levels of positive affectivity; were conscientious and agreeable; had fewer difficulties identifying and describing feelings; and were not prone to somatic symptomatology or increased somatic symptoms under stress. | One concern was that the Interpersonal scale had relatively small correlations with the other EQ composite scales, as well as a different pattern of convergent and discriminant validities. The authors were unable to explain below-normal EQ-i scores in the study however the low scores should not have much impact on the observed convergent/discriminant validity. For specific aspects of EI, the authors suggest to use the 15 subscale scores instead of the 5 factors, which are generally more internally consistent. |
In some cases, researchers/practitioners will not need to measure overall EI, but instead seek to measure a single dimension of EI (e.g., emotion perception, emotion management etc.). In general, we caution the selective use of individual EI scales and recommend that users habitually measure and control for EI facets they are not directly interested in. Nevertheless, we acknowledge that in some cases users will have to select a single measure and consequently, this section specifies a selection of what we consider the “best” measures for each construct. We do this for both free measures and those requiring payment. In order to determine which measure constitutes the “best” measure for each construct, the following criteria were applied:
Where multiple measures met the above criteria, they were compared on their performance on each criterion (i.e., a measure with a lot of research scored higher on the first criteria than a measure with a medium level of research). Table 1 summarizes these results.
Please note that the Emotional and Social Intelligence Inventory (ESCI) by Boyatzis and Goleman ( 2007 ) has subscales that are also closely related to the ones listed in Table 1 (see full technical manual here ( http://www.eiconsortium.org/pdf/ESCI_user_guide.pdf ). The measure was developed primarily to predict and enhance performance at work and items are generally written to reflect workplace scenarios. Subscales from this test were not consistently chosen as the “best” measures because it has not had as extensive published research as the other tests. Most research using this measure has also used peer-ratings rather than self-ratings which makes it difficult to compare with the majority of measures (this is not a weakness though). Nevertheless, it should be considered if cost is not an issue and there is a strong desire to utilize a test specifically developed for the workplace.
Although our purpose in this paper is not to outline the necessary training or qualifications required to administer the set of tests/questionnaires reviewed, we feel it is important to make some comments on this. First, we recommend that all researchers and practitioners considering using one more of these tests have a good understanding of the principles of psychological assessment. Users should understand the concepts of reliability, validity and the role of norms in psychological testing. There are many good introductory texts in this area (e.g., Kaplan and Saccuzzo, 2017 ). Furthermore, we recommend users have a good understanding of the limitations of psychological testing and assessment. When using EI measures to evaluate suitability of job applicants, these measures should form only part of the assessment process and should not be regarded as comprehensive information about applicants. Finally, some of the tests outlined in this review require specific certification and/or qualifications. Certification and/or qualification is required for administrators of the ESCI, MSCEIT, and EQi 2.0).
The final section of this article is a literature review of the 6 popular measures we have covered. We have included our review at the end of this article because we regard it as optional reading. We suggest that this section will be useful primarily for those seeking a more in depth understanding of the key studies underlying the various measures we have presented in earlier sections.
This literature review had two related aims; first to identify prominent EI measures used in the literature, as well as specifically in applied (e.g., health care) contexts. The emotional intelligence measures we included were those that measured both overall EI as well as more specific EI constructs common to multiple measures (e.g., those related to perceiving emotions in self and others, regulating emotions in self and others and strategically utilizing emotions). The second aim was to identify individual studies that have explored the validity and reliability of the specific emotional intelligence measures identified.
Four main inclusion criteria were applied to select literature: (a) focus on adult samples, (b) use of reputable, peer-reviewed journal articles, (c) use of an EI scale, and (d) where possible, use of a professional sample (e.g., health care professionals) rather than primarily student samples. The literature search therefore focused on empirical, quantitative investigations published in peer-reviewed journals. The articles reviewed therefore were generally methodologically sound and enabled a thorough analysis of some aspect of reliability or validity. We only reviewed articles published after 1990. Additionally, only papers in English were reviewed.
Papers were identified by conducting searches in the following electronic databases: PsycINFO, Medline, PubMED, CINAHL (Cumulative Index for Nursing and Allied Health Literature), EBSCO host and Google Scholar. Individual journals were also scanned such as The Journal of Nursing Measurement and Psychological Assessment.
When searching for emotional intelligence scales and related literature, search terms included: trait emotional intelligence, ability emotional intelligence, emotional intelligence scales, mixed emotional intelligence and emotional intelligence measures. Some common EI facet titles (e.g., self-awareness, self-regulation/self-management, social awareness, and relationship management) were also entered as search terms however this revealed far less relevant literature than searches based on EI terms. To access studies using professionals we also used terms such as workplace, healthcare, and nursing, along with emotional intelligence.
When searching for literature on the identified scales, the name of the respective scale was included in the search term (such as TEIQue scale) and the authors' names, along with terms such as workplace, organization, health care, nurses, health care professionals, to identify specific studies with a professional employee sample that utilized the specific scale. The terms validity and reliability were also used. Additionally, a similar search was conducted on articles that had cited the original papers. This search was done conducted utilizing Google Scholar. Table 2 summarizes the result of the first part of the literature review. It provides an overview of major Emotional Intelligence assessment measures, in terms of when they were developed, who developed them, what form of EI they measure, theoretical basis, test length and details regarding cost.
Tables 3 – 8 summarize research on the validity and reliability of the 6 tests included in Table 2 . In these tables we summarize the methodology used in major studies assessing reliability and validity as well as the results from these studies.
Collectively, these tables indicate that all 6 of the measures we reviewed have received some support for their reliability and validity. Measures with extensive research include the MSCEIT, SREIT, and TEIQue, and EQ-I and those with less total research are the STEU/STEM and ESCI. Existing research does not indicate that these latter measures are any less valid or reliable that the others; on the contrary they are promising measures but require further tests of reliability and validity. As noted previously, this table confirms that the tests with the strongest current evidence for construct and predictive validity are the self-report/trait EI measures (TEIQue, EQ-I, and SREIT). We note that although there is evidence for construct validity of the SREIT based on associations with theoretically related constructs (e.g., alexithymia, optimism; see Table 4 ), some have suggested the measure is problematic due to its use of self-report questions that primarily measure ability based constructs (see Petrides and Furnham, 2000 ).
In this article we have reviewed six widely used measures of EI and made recommendations regarding their appropriate use. This article was written primarily for researchers and practitioners who are not currently experts on EI and therefore we also clarified the difference between ability EI, trait EI and mixed EI. Overall, we recommend that users should use single, complete tests where possible and choose measures of EI most suitable for their purpose (i.e., choose ability EI when maximal performance is important and trait EI when typical performance is important). We also point out that, across the majority of emotion-related outcomes, trait EI tends to be a stronger predictor and consequently we suggest that new users of EI consider using a trait-based measure before assessing alternatives. The exception is in employment contexts where tests utilizing 360 degree assessment (primarily mixed measures) can also be very useful.
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding. The QUT library funded the article processing charges for this paper.
This study answers 3 questions:
Does Emotional intelligence affect Individual Performance?
Does Emotional Intelligence affect Organization Engagement?
Does Organizational Engagement impact Organizational Performance?
A three-year study of AMADORI, a supplier of McDonald’s in Europe, assesses links between emotional intelligence, individual performance, organizational engagement, and organizational performance. Emotional intelligence was found to predict 47% of the variation in manager’s performance management scores. Emotional intelligence was also massively correlated with increased organizational engagement with 76% of the variation in engagement predicted by manager EQ. Finally, plants with higher organizational engagement achieved higher bottom-line results building a link between EQ->Engagement->Performance. During this period, employee turnover also dropped by 63%.
Of variation in managers' performance scores is predicted by eq, of variation in organizational engagement scores is predicted by eq, is the difference in performance scores between highest and lowest-engagement workplaces, how can emotional intelligence help….
In this study, the variation in managers’ performance scores was largely predicted by emotional intelligence scores. Learn More
Organizations with high EQ managers are significantly more likely to score high in engagement . Learn More
Organizations with high engagement scores and high EQ managers are more productive and have higher employee retention rates. Learn More
that the Six Seconds training proved decisive in pushing managers and middle managers towards improving their leadership skills. Within a few years of using the performance and talent management system, we have witnessed an improvement of the managerial competencies of the whole organization, and especially in those of middle management.”
-Paolo Pampanini, HR Director, AMADORI
To assess this question, two variables were evaluated: EQ scores and Performance scores. EQ scores were measured using Six Seconds’ SEI Assessment. Performance scores were measured using AMADORI’s Performance Management System. The sample was 147 of AMADORI’s managers and middle managers.
The managers in the top 25% of EQ scored higher on the company’s performance management system:
To assess the power of the relationship between EQ and performance, a linear regression analysis was conducted, revealing a statistically significant positive relationship between the managers‘ EQ scores and their Results scores.
While many studies correlate emotional intelligence with business performance, this finding is unique because of the strong, significant link between the “hard” outcome of results and the “soft skills” of emotional intelligence. Since we know that emotional intelligence is learnable, this finding suggests that massive individual performance benefits can be reached by developing these skills, and by selecting managers who already exhibit these skills.
It’s also worth noting that unlike many of the other studies of emotional intelligence, this study is looking at an industrial sector. Thus, even in a basic infrastructure industry, it appears that emotional intelligence is a critical success factor.
To assess this question, two variables were evaluated: EQ scores and Engagement Index scores. The sample for EQ scores was 147 of AMADORI’s managers and middle managers and the sample for Engagement Index scores was three of AMADORI’s largest production plants.
The plants with the highest EQ managers scored higher on the Organizational Engagement Index:
To assess the power of the relationship between managers’ EQ and organizational engagement, a linear regression analysis was conducted, revealing a statistically significant positive relationship between the managers‘ EQ scores and employee engagement scores.
The managers’ level of emotional intelligence appears to positively influence employee engagement. While this is a small number of plants, the trend is very powerful. In this sample, 76% of the variation in engagement is predicted by variation in manager EQ — suggesting that increasing manager EQ is imperative for organizations concerned with increasing employee engagement.
To assess this question, two variables were evaluated: Organizational Engagement Index scores and Plant Performance scores. The Organizational Vitality Signs assessment was given to AMADORI’s three largest plants to measure engagement, and AMADORI’s own Global Key Performance Indicator assessment was given to each plant to measure Plant Performance.
The Plant with the lowest level of engagement performed the worst:
To assess the power of the relationship between organizational engagement and retention rates, a linear regression analysis was conducted, revealing a statistically significant positive relationship between organizational engagement and retention rates.
While the link between engagement and outcomes as measured by the OVS is well established, this study provides an important additional ingredient. The objective performance data from the company’s Key Performance Indicator substantiates the link between employee engagement and performance. Further, this finding adds evidence that the outcomes measure by the Organizational Vital Signs assessment are linked to “real world” performance.
The study provides evidence to affirm the three of the questions:
There is strong evidence that emotional intelligence is predictive of individual performance; we found that 47% of the variation in performance is predicted by variation in EQ. Plants with more emotionally intelligent managers had higher organizational engagement. Plants with higher organizational engagement reached better performance.
It appears that Emotional Intelligence, as measured by the Six Seconds Emotional Intelligence Assessment, is a significant (perhaps even essential) capacity not only for individuals but also for entire organizations. These findings suggest that emotional intelligence and organizational engagement are key drivers of performance.
In addition to the results of the study, one striking result was a drastic 63% reduction of personnel turnover of Amadori’s sales force. Sales managers participated in the EQ training, and the competency framework and manager-coach process was extended to the external sales force (300 sales agents all over Italy). The employee turnover rates are shown in this graph:
For other companies considering this type of implementation, there were several “lessons learned” in the Amadori case. The first is the value of metrics. The project started with robust data and the creation of a meaningful performance management system.
Many organizations are moving toward a “balanced scorecard” approach to performance management. It can be a difficult transition when most operations have traditionally only focused on results. Senior leaders need to be very serious if they are going to commit to measure both the “what” and “how.” In this case, we can see that focus is part of the bottom line too. It’s about having a longer-term vision; if we only focus on the short-term, “good results” in one quarter could actually be undermining value. When those results are created in a healthy way, the organization becomes stronger.
These systems are often imperfect, but Pampanini points out that it’s important to have the data and refine. Using tools like SEI and VS provided normative data that is robust and meaningful for individuals as well as the whole organizations.
This “refining” concept is consistent with the best practices of the Change MAP process. The three stages of Engage, Activate, Reflect are presented in a cycle. A multi-year project goes through this cycle many times, continuously building awareness and commitment. As the project progresses, the people involved become more deeply engaged and build the emotional energy that brings others along (shown in the graphic to the right, the feelings on the outer ring become a driving force for continuous improvement as a learning organization).
Finally, Pampanini points to the importance of HR working strategically as a partner to operational leadership: “We believe that HR systems can produce value only if properly executed by the people within the company. This is why investing in the development of emotional intelligence for all key managers is a critical success factor.”
This study originally published April 3, 2013, updated Feb 5, 2019
Regional Network Director, Six Seconds Italy
CEO, Six Seconds
CEO, MGMTLab
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Graduate School of Applied and Professional Psychology (GSAPP) - Rutgers University | |
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Publication date: 1999 |
The following 19 points build a case for how emotional intelligence contributes to the bottom line in any work organization. Based on data from a variety of sources, it can be a valuable tool for HR practitioners and managers who need to make the case in their own organizations. The Consortium also invites submissions of other research for the Business Case. All submissions will be reviewed to determine their suitability. If you have research findings that you think might help build the business case, submit them by clicking here.
1) The US Air Force used the EQ-I to select recruiters (the Air Force’s front-line HR personnel) and found that the most successful recruiters scored significantly higher in the emotional intelligence competencies of Assertiveness, Empathy, Happiness, and Emotional Self Awareness. The Air Force also found that by using emotional intelligence to select recruiters, they increased their ability to predict successful recruiters by nearly three-fold. The immediate gain was a saving of $3 million annually. These gains resulted in the Government Accounting Office submitting a report to Congress, which led to a request that the Secretary of Defense order all branches of the armed forces to adopt this procedure in recruitment and selection. (The GAO report is titled, "Military Recruiting: The Department of Defense Could Improve Its Recruiter Selection and Incentive Systems," and it was submitted to Congress January 30, 1998. Richard Handley and Reuven Bar-On provided this information.)
2) Experienced partners in a multinational consulting firm were assessed on the EI competencies plus three others. Partners who scored above the median on 9 or more of the 20 competencies delivered $1.2 million more profit from their accounts than did other partners – a 139 percent incremental gain (Boyatzis, 1999).
3) An analysis of more than 300 top-level executives from fifteen global companies showed that six emotional competencies distinguished stars from the average: Influence, Team Leadership, Organizational Awareness, self-confidence, Achievement Drive, and Leadership (Spencer, L. M., Jr., 1997).
4) In jobs of medium complexity (sales clerks, mechanics), a top performer is 12 times more productive than those at the bottom and 85 percent more productive than an average performer. In the most complex jobs (insurance salespeople, account managers), a top performer is 127 percent more productive than an average performer (Hunter, Schmidt, & Judiesch, 1990). Competency research in over 200 companies and organizations worldwide suggests that about one-third of this difference is due to technical skill and cognitive ability while two-thirds is due to emotional competence (Goleman, 1998). (In top leadership positions, over four-fifths of the difference is due to emotional competence.)
5) At L’Oreal, sales agents selected on the basis of certain emotional competencies significantly outsold salespeople selected using the company’s old selection procedure. On an annual basis, salespeople selected on the basis of emotional competence sold $91,370 more than other salespeople did, for a net revenue increase of $2,558,360. Salespeople selected on the basis of emotional competence also had 63% less turnover during the first year than those selected in the typical way (Spencer & Spencer, 1993; Spencer, McClelland, & Kelner, 1997).
6) In a national insurance company, insurance sales agents who were weak in emotional competencies such as self-confidence, initiative, and empathy sold policies with an average premium of $54,000. Those who were very strong in at least 5 of 8 key emotional competencies sold policies worth $114,000 (Hay/McBer Research and Innovation Group, 1997).
7) In a large beverage firm, using standard methods to hire division presidents, 50% left within two years, mostly because of poor performance. When they started selecting based on emotional competencies such as initiative, self-confidence, and leadership, only 6% left in two years. Furthermore, the executives selected based on emotional competence were far more likely to perform in the top third based on salary bonuses for performance of the divisions they led: 87% were in the top third. In addition, division leaders with these competencies outperformed their targets by 15 to 20 percent. Those who lacked them under-performed by almost 20% (McClelland, 1999).
8) Research by the Center for Creative Leadership has found that the primary causes of derailment in executives involve deficits in emotional competence. The three primary ones are difficulty in handling change, not being able to work well in a team, and poor interpersonal relations.
9) After supervisors in a manufacturing plant received training in emotional competencies such as how to listen better and help employees resolve problems on their own, lost-time accidents were reduced by 50 percent, formal grievances were reduced from an average of 15 per year to 3 per year, and the plant exceeded productivity goals by $250,000 (Pesuric & Byham, 1996). In another manufacturing plant where supervisors received similar training, production increased 17 percent. There was no such increase in production for a group of matched supervisors who were not trained (Porras & Anderson, 1981).
10) One of the foundations of emotional competence -- accurate self-assessment -- was associated with superior performance among several hundred managers from 12 different organizations (Boyatzis, 1982).
11) Another emotional competence, the ability to handle stress, was linked to success as a store manager in a retail chain. The most successful store managers were those best able to handle stress. Success was based on net profits, sales per square foot, sales per employee, and per dollar inventory investment (Lusch & Serpkeuci, 1990).
12) Optimism is another emotional competence that leads to increased productivity. New salesmen at Met Life who scored high on a test of "learned optimism" sold 37 percent more life insurance in their first two years than pessimists (Seligman, 1990).
13) A study of 130 executives found that how well people handled their own emotions determined how much people around them preferred to deal with them (Walter V. Clarke Associates, 1997).
14) For sales reps at a computer company, those hired based on their emotional competence were 90% more likely to finish their training than those hired on other criteria (Hay/McBer Research and Innovation Group, 1997).
15) At a national furniture retailer, sales people hired based on emotional competence had half the dropout rate during their first year (Hay/McBer Research and Innovation Group, 1997).
16) For 515 senior executives analyzed by the search firm Egon Zehnder International, those who were primarily strong in emotional intelligence were more likely to succeed than those who were strongest in either relevant previous experience or IQ. In other words, emotional intelligence was a better predictor of success than either relevant previous experience or high IQ. More specifically, the executive was high in emotional intelligence in 74 percent of the successes and only in 24 percent of the failures. The study included executives in Latin America, Germany, and Japan, and the results were almost identical in all three cultures.
17) The following description of a "star" performer reveals how several emotional competencies (noted in italics) were critical in his success: Michael Iem worked at Tandem Computers. Shortly after joining the company as a junior staff analyst, he became aware of the market trend away from mainframe computers to networks that linked workstations and personal computers (Service Orientation). Iem realized that unless Tandem responded to the trend, its products would become obsolete (Initiative and Innovation). He had to convince Tandem’s managers that their old emphasis on mainframes was no longer appropriate (Influence) and then develop a system using new technology (Leadership, Change Catalyst). He spent four years showing off his new system to customers and company sales personnel before the new network applications were fully accepted (Self-confidence, Self-Control, Achievement Drive) (from Richman, L. S., "How to get ahead in America," Fortune, May 16, 1994, pp. 46-54).
18) Financial advisors at American Express whose managers completed the Emotional Competence training program were compared to an equal number whose managers had not. During the year following training, the advisors of trained managers grew their businesses by 18.1% compared to 16.2% for those whose managers were untrained.
19) The most successful debt collectors in a large collection agency had an average goal attainment of 163 percent over a three-month period. They were compared with a group of collectors who achieved an average of only 80 percent over the same time period. The most successful collectors scored significantly higher in the emotional intelligence competencies of self-actualization, independence, and optimism. (Self-actualization refers to a well-developed, inner knowledge of one's own goals and a sense of pride in one's work.) (Bachman et al., 2000).
References Bachman, J., Stein, S., Campbell, K., & Sitarenios, G. (2000). Emotional intelligence in the collection of debt. International Journal of Selection and Assessment , 8(3), 176-182.
Boyatzis, R. E. (1999). From a presentation to the Linkage Conference on Emotional Intelligence, Chicago, IL, September 27, 1999.
Boyatzis, R. (1982). The competent manager: A model for effective performance . New York: John Wiley and Sons.
Goleman, D. (1998). Working with emotional intelligence . New York: Bantam.
Hay/McBer Research and Innovation Group (1997). This research was provided to Daniel Goleman and is reported in his book (Goleman, 1998).
Hunter, J. E., Schmidt, F. L., & Judiesch, M. K. (1990). Individual Differences in Output Variability as a Function of Job Complexity. Journal of Applied Psychology , 75, 28-42.
Lusch, R. F., & Serpkeuci, R. (1990). Personal differences, job tension, job outcomes, and store performance: A study of retail managers. Journal of Marketing .
McClelland, D. C. (1999). Identifying competencies with behavioral-event interviews. Psychological Science , 9(5), 331-339.
Pesuric, A., & Byham, W. (1996, July). The new look in behavior modeling. Training and Development , 25-33.
Porras, J. I., & Anderson, B. (1981). Improving managerial effectiveness through modeling-based training. Organizational Dynamics , 9, 60-77.
Richman, L. S. (1994, May 16). How to get ahead in America. Fortune , 46-54.
Seligman, M. E. P. (1990). Learned optimism . New York: Knopf.
Spencer, L. M., Jr. , & Spencer, S. (1993). Competence at work: Models for superior performance . New York: John Wiley and Sons.
Spencer, L. M. J., McClelland, D. C., & Kelner, S. (1997). Competency assessment methods: History and state of the art . Boston: Hay/McBer.
Walter V. Clarke Associates. (1996). Activity vector analysis: Some applications to the concept of emotional intelligence . Pittsburgh, PA: Walter V. Clarke Associates.
Check out our new EVENTS section to find out about the latest conferences and training opportunities involving members of the EI Consortium.
NEW Doctoral Program in Organizational Psychology
Rutgers University - Graduate School of Applied and Professional Psychology (GSAPP) is now offering a doctoral program in Organizational Psychology and is accepting applications for students. The Consortium for Research on Emotional Intelligence in Organizations is headquartered within Rutgers, providing students the opportunity to conduct research and collaborate with leading experts in the field of emotional intelligence. Click here for additional information.
NEW Research Fellowship
think2perform Research Institute’s Research Fellowship program invites proposals from doctoral candidates, post-docs and junior faculty pursuing self-defined research focused on moral intelligence, purpose, and/or emotional intelligence. Click here for more information.
Listen to Consortium member Chuck Wolfe interview some of the thought leaders in emotional intelligence.
Harvard Alumni Panel - Why is interest in Emotional Intelligence Soaring?
Consortium member Chuck Wolfe hosts a panel of world class leaders in the field of emotional intelligence (EI) to talk about why interest in EI is soaring. Panel members include EI Consortium members Dr. Richard Boyatzis , Dr. Cary Cherniss and Dr. Helen Riess . Click here to view the panel discussion.
Interview with Dr. Cary Cherniss and Dr. Cornelia Roche
Host, Chuck Wolfe interviews Drs. Cary Cherniss and Cornelia Roche about their new book Leading with Feeling: Nine Strategies of Emotionally Intelligent Leadership . The authors share powerful stories of cases involving outstanding leaders using strategies that can be learned that demonstrate effective use of emotional intelligence. Click here to see the interview.
Interview with Dr. Rick Aberman
See Chuck Wolfe interview Consortium member and sports psychologist Dr. Rick Aberman on peak performance and dealing with the pandemic. The interview is filled with insights, humorous anecdotes, and strategies for achieving peak performance in athletics and in life. Click here to see the interview.
Interview with Dr. David Caruso
Chuck Wolfe interviews Consortium member David Caruso talking about their work together, the ability model of emotional intelligence, and insights into how to use emotional intelligence to address staying emotionally and mentally healthy during times of crisis and uncertainty. Click here to listen to the interview.
Interview with Dr. Richard Boyazis
How can you help someone to change? Richard Boyatzis is an expert in multiple areas including emotional intelligence. Richard and his coauthors, Melvin Smith, and Ellen Van Oosten , have discovered that helping people connect to their positive vision of themselves or an inspiring dream or goal they've long held is key to creating changes that last. In their book Helping People Change the authors share real stories and research that shows choosing a compassionate over a compliance coaching approach is a far more engaging and successful way to Helping People Change. Click here to listen to the interview.
Interview with Dr. Marc Brackett
Marc Brackett , Director of the Yale Center for Emotional Intelligence, has written a wonderful book about feelings. I worked with Marc when he was first crafting his world class social and emotional learning program, RULER. Our interview highlights how Marc has achieved his own and his Uncle's vision for encouraging each of us to understand and manage our feelings. My conversation with Marc is inspiring, humorous, and engaging at times. Click here to listen to the interview.
Interview with Dr. Helen Riess
Helen Riess is a world class expert on empathy. She is an associate clinical professor of psychiatry at Harvard Medical School and director of the Empathy and Relational Science Program at Mass General Hospital. Helen discusses her new book and shares insights, learnings and techniques such as the powerful seven-step process for understanding and increasing empathy. She relates information and cases whereby she uses empathy to make a meaningful difference in areas such as parenting and leading. Click here to listen to the interview.
Interview with Dr. Maurice Elias
The show is about the Joys and Oys of Parenting , a book written by a respected colleague, Dr. Maurice Elias, an expert in parenting and emotional and social intelligence. Dr. Elias wrote a book tying Judaism and emotional intelligence together to help parents with the challenging, compelling task of raising emotionally healthy children. And while there are fascinating links to Judaism the book is really for everybody. Click here to listen to the interview.
Interview with Geetu Bharwaney
Challenges abound and life is stressful for many. So how do we cope? Chuck Wolfe interviews Geetu Bharwaney about her book, Emotional Resilience . Geetu offers research, insights, and most importantly practical tips for helping people bounce back from adversity. Click here to listen to the interview.
Interview with Dr. Daniel Goleman
Listen to an interview by with Dr. Goleman on his new book Focus: The Hidden Driver of Excellence . In the book Dan helps readers to understand the importance and power of the ability to focus one's attention, will power, and cognitive control in creating life success. Click here to listen to the interview.
Interview with Dr. John Mayer
How Personal Intelligence Shapes Our Lives: A Conversation with John D. Mayer. From picking a life partner, to choosing a career, Jack explains how personal intelligence has a major impact on our ability to make successful decisions. Click here to listen to the interview.
Interview with Dr. Cary Cherniss
Click HERE to listen to an interview with Dr. Cary Cherniss co-chair of the EI Consortium. Dr. Cherniss discusses the issue of emotional intelligence and workplace burnout.
Click HERE to listen to an interview with Dr. Marc Brackett , the newly appointed leader of the Center of Emotional Intelligence which will begin operation at Yale University in April, 2013. In this interview Dr. Brackett shares his vision for the new center.
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Employees’ emotional intelligence and job satisfaction: the mediating role of work climate and job stress.
Present study, 2.1. design and procedure, 2.2. participants, 2.3. instruments, 2.4. data analysis, hypotheses summary and final model, 4. discussion, 5. conclusions, 6. limitations and future research directions, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.
Click here to enlarge figure
Variable | N (%) | |
---|---|---|
Sex | Man | 106 (52.2) |
Woman | 97 (47.8) | |
Age | From 18 to 30 years old | 111 (54.7) |
From 31 to 45 years old | 61 (30) | |
From 46 to 65 years old | 31 (15.3) | |
Level of education | No education | 3 (1.5) |
Primary school or equivalent | 14 (6.9) | |
General secondary education, 1st cycle | 10 (4.9) | |
General secondary education, 2nd cycle | 17 (8.4) | |
2nd grade vocational education, 2nd cycle | 9 (4.4) | |
Higher professional education | 41 (20.2) | |
University studies or equivalent | 109 (53.7) | |
Are you currently employed? | Yes | 166 (81.8) |
No | 37 (18.2) |
M (SD) | r (p) | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | ||
1. EmotionalIntelligence | 77.92 (17.39) | - | |||
2. Work Climate | 142.68 (23.25) | - | |||
3. Perceived Job Stress | 20.70 (13.87) | 0.030 | - | ||
4. Job Satisfaction | 4.63 (1.13) | - |
b | S.E. | t | 95% C.I. | ||
---|---|---|---|---|---|
DE | EI → JS | 0.189 | 0.003 | 3.952 | 0.006, 0.018 |
IE | EI → WC → JS | 0.147 | 0.044 | 3.097 | 0.063, 0.238 |
EI → PJS → JS | −0.020 | 0.013 | −1.444 | −0.049, 0.002 | |
EI → WC → PJS → JS | 0.016 | 0.009 | 1.667 | 0.001, 0.035 | |
TE | EI → JS | 0.331 | 0.004 | 4.977 | 0.012, 0.030 |
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García del Castillo-López, Á.; Pérez Domínguez, M. Employees’ Emotional Intelligence and Job Satisfaction: The Mediating Role of Work Climate and Job Stress. Adm. Sci. 2024 , 14 , 205. https://doi.org/10.3390/admsci14090205
García del Castillo-López Á, Pérez Domínguez M. Employees’ Emotional Intelligence and Job Satisfaction: The Mediating Role of Work Climate and Job Stress. Administrative Sciences . 2024; 14(9):205. https://doi.org/10.3390/admsci14090205
García del Castillo-López, Álvaro, and María Pérez Domínguez. 2024. "Employees’ Emotional Intelligence and Job Satisfaction: The Mediating Role of Work Climate and Job Stress" Administrative Sciences 14, no. 9: 205. https://doi.org/10.3390/admsci14090205
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11-26-2019 WORKPLACE EVOLUTION
Lots of companies want to teach EI to their employees. But determining an effective method is critical
[Photo: Nong Vang /Unsplash]
BY Harvey Deutschendorf 3 minute read
In order to embrace the new realities of a changing workplace, Four Seasons has turned their focus to emotional intelligence . The luxury hospitality company recently sponsored a report from Harvard Business Review Analytic Services looking at the business advantage EI can provide teams. As an expert on emotional intelligence, I was given the opportunity to review the research report and speak with Christian H. Clerc, president of global operations.
What the study found is far-ranging and confirms conclusions that are becoming more widely accepted: Organizations that emphasize emotional intelligence have higher employee engagement and customer loyalty. This leads to greater productivity and profitability.
While the importance of having a focus on emotional intelligence is becoming increasingly more accepted in organizations, the question of how to develop it has been a difficult one. Many organizations will focus on finding people who are highly emotionally intelligent as they believe that while they can train for skills, developing EI in people is more difficult and challenging. Typical training involves assessments, presentations, data analysis, and metrics.
According to Richard Boyatzis, who contributed to the study, beginning presentations on EI by introducing a huge amount of data can be ineffective. One of our human tendencies is to focus on our weaknesses, says Boyatzis, who is a professor at Case Western University and one of the leading world experts on leadership and emotional intelligence. This can bring up people’s defensiveness, causing stress and blocking the mind from embracing new ideas. Instead of starting with training videos, lectures, and assessments, Boyatzis recommends starting with conversation and interaction intended to increase self-awareness.
One group that uses the sort of method that the Harvard study found to be most effective is the Weatherhead University leadership program in Cleveland, Ohio. Students in the program develop their visions through self-exploration and in-depth discussions with their peers and coaches. The students found that this led to deeper levels of self-awareness, empathy, and the ability to understand the viewpoints of others. This then steered them to develop better relationships with others.
The ultimate test of any training is the ability to retain improvements into the future. Weatherhead found that students who took the training retained improvement in their EI capabilities months after they completed the training, according to feedback collected from those working with the students. Another organization that takes the self-exploration route to teaching emotional intelligence is UBS, a multinational bank and financial services company. In order to take on new clients, UBS must practice due diligence, which involves asking potential clients intensive questions about the source and origins of their wealth—a sensitive area for most.
To do this effectively requires UBS staff to be highly sensitive, empathic, and aware so as not to turn off the potential client and have them end up going to another financial institution. To develop these abilities, UBS employees spend three days to do in-depth exploration to more fully understand where they are at in real time. They work on having conversations that involve high levels of self-awareness and empathy, necessary to successfully ask their potential clients questions that can be viewed as highly personal.
Four Seasons also does some in-depth exploration with the people they hire. In their interviews, ask potential employees the question, “Tell me about a time you did something for someone. How did it make you feel?” According to Clerc, it’s easy to spot someone who is not authentic in their reply to this question. They are looking for people who are focused on others, as those that are self-focused will not prioritize guests. Four Seasons believe what guests will remember most about their stay at one of their properties is the interactions they had with people. “The trend in new luxuries are experiential ones,” says Clerc. “The experience you have at our hotel, how you were treated, and how you feel will be remembered.”
To make the interactions positive and memorable, Clerc says the company relies upon “unscripted care,” which requires staff to interact with their guest authentically, positively, and appropriately in the moment. This is difficult to teach as each situation is unique, which requires staff that have a high degree of empathy and self-awareness at all times. Four Seasons leadership development prioritizes this sort of EI training through 360 feedback tools, coaching, and leadership development, with the aim of increasing self-awareness.
The experiential focus on self-awareness and shared purpose starts when on-boarding new staff. Training is based on deep-dive EI activities, such as mindfulness and meditation, as well as empathy and compassion exercises to strengthen their relationship with guests. Employees are entrusted to make on-the-spot decisions to improve a client’s experience.
Christian H. Clerc’s title has been updated.
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ABOUT THE AUTHOR
Harvey Deutschendorf is an emotional intelligence expert, author and speaker. To take the EI Quiz go to theotherkindofsmart.com More
Home > ETD > Doctoral > 5992
Emotional intelligence, perceived stress, coping strategies and burnout in high stress nursing job types.
Chris Hutsell , Liberty University Follow
School of Behavioral Sciences
Doctor of Philosophy in Psychology (PhD)
Jerry Green
emotional intelligence, burnout, emotional exhaustion, depersonalization, personal achievement, perceived stress, coping strategies, nursing
Recommended citation.
Hutsell, Chris, "Emotional Intelligence, Perceived Stress, Coping Strategies and Burnout in High Stress Nursing Job Types" (2024). Doctoral Dissertations and Projects . 5992. https://digitalcommons.liberty.edu/doctoral/5992
This quantitative, correlative study examined the relationships between emotional intelligence (EI), burnout, perceived stress, coping strategy approaches, and dimensions of burnout in nurses According to many in the healthcare industry, the U.S. is facing a potential nursing crisis by 2030. Research has indicated that inadequate staffing leads to heavier workloads that contribute to higher rates of injuries, medical errors, absenteeism, financial loss, stress, and job burnout in nurses. Studies have also indicated that emotional intelligence can alleviate perceived stress and burnout in nurses that reduce nursing injuries, medical errors, absenteeism that manifests as financial losses for the overall healthcare industry. This study examined these variables utilizing the Schutte Self-Report Emotional Intelligence Test, Maslach Burnout Inventory, Perceived Stress Scale (PSS-10), and Brief COPE Inventory. The sample consisted of 98 licensed nurses employed in seven high-stress job types in the Los Angeles County area. Bivariate analyses revealed a significant correlation between emotional intelligence and overall burnout r (96) = -.68, p <.001, perceived stress r (96) = -.31, p =.002. There was no relationship between coping strategy approaches. Pearson’s correlation coefficient revealed that emotional intelligence could lower the burnout dimensions of emotional exhaustion r (96) = -.63, p <.001 and personal achievement r (96) = -.59, p <.001 levels. Emotional intelligence did not predict depersonalization levels. This researcher recommends that emotional intelligence training be implemented throughout the nursing community.
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While findings have documented the association between emotional intelligence, life satisfaction, and suicidal ideation among adolescents, few studies have investigated the moderating effect of family climate on the association. This study examined the moderating effect of family cohesion, expressiveness, and conflict on the relationships between emotional intelligence, life satisfaction, and suicidal ideation among Spanish adolescents. A total of 2,722 adolescents aged 12 to 18 ( M age = 14.11, SD = 1.42, 52.8% girls) formed the sample. The interaction effects were significant, with family conflict mitigating the effects of emotional intelligence on life satisfaction, and family cohesion and expressiveness strengthening the effects of emotional intelligence on suicidal ideation. These findings provide additional evidence for the protective role of family cohesion and expressiveness in adolescent suicidal ideation, and the harmful role of family conflict in adolescent wellbeing. The results imply that enhancing family cohesion and expressiveness and reducing family conflict may be a promising way to boost the link between emotional intelligence and life satisfaction and to prevent suicidal ideation among adolescents.
The relationship between family functioning and adolescent depressive symptoms: the role of emotional clarity.
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Adolescence is characterized by physical, social, and emotional changes that, along with contextual factors like exposure to abuse and violence, can contribute to vulnerability to suffering from a mental disorder (Tottenham & Galván, 2016 ; World Health Organization, WHO, 2022 ). According to a recent study with adolescents in 84 countries, 14 percent of adolescents worldwide endure mental health diseases and the majority do not receive due recognition and treatment (Biswas et al., 2020 ). Adolescents at higher risk for depression, anxiety, or eating disorders are especially prone to reduced physical health, educational difficulties, social stigma, and suicidal ideation (Ferguson et al., 2005 ; Runcan, 2020 ; WHO, 2022 ). Suicidal behavior is the fourth leading cause of death among adolescents in the world. Therefore, suicidal ideation and attempts have emerged as a public concern compelling intensive effort to learn how to prevent them (WHO, 2022 ). The interpersonal-psychological theory of suicidal behavior highlights that the joint presence of two risk factors—namely, thwarted belongingness (i.e., unfulfilled need to belong) and perceived burdensomeness (i.e., unfulfilled need to participate in the wellbeing of significant others)—is likely to result in a very harmful form of suicidal desire (Van Orden et al., 2008 ). In contrast, emotional skills such as coping strategies and mood regulation abilities, and contextual factors such as perceived social support, contribute to prevent these conditions and promote indicators of wellbeing (Gaynor et al., 2023 ; Wasserman et al., 2021 ).
Life satisfaction has been defined as a subjective evaluation of one's own quality of life in general or in specific domains (Diener et al., 1999 ). Longitudinal studies revealed that lower levels of life satisfaction predicted externalizing and internalizing conducts and peer victimization episodes, whereas high levels of life satisfaction predicted lower probability of exhibiting future externalizing conducts after enduring significant life stressors among adolescents (Haranin et al., 2007 ; Martin et al., 2008 ; Suldo & Huebner, 2004 ). These findings suggest that life satisfaction could be considered a relevant indicator of wellbeing that contributes to promote adaptive development among adolescents (Huebner, 2004 ).
The wellbeing of adolescents relies largely on family factors, including family structure (Antaramian et al., 2008 ), family support (McMahon et al., 2020 ; Shaw et al., 2004 ; Viner et al., 2012 ), and family climate (Herrera-Orozco & Paramo-Castillo, 2022 ; White et al., 2014 ). According to Bronfenbrenner's theory ( 1979 ), the family is the most internal level of the ecological scheme, which entails two-way meeting paths, characterized by the presence of a direct physical approach and an affective climate.
Longitudinal studies have found that positive family values and family warmth, along with open, issue-oriented communication, reduce the risk of mental health impairment from late childhood to late adolescence (Krauss et al., 2020 ). This kind of communication within the family (vs. a cold, neglectful, and unsupportive familial style) helps to protect the adolescent against mental health problems by modeling adequate coping skills, promoting social competences, and supplying opportunities to voice concerns and feel valued (Repetti et al., 2002 ).
Among these family indicators, the family climate encompasses the psychosocial characteristics of the family group that exist in family dynamics—namely, its development or constitution, stability or structure, and relationships or functionality (Moos & Moos, 1981 ). The latter is formed by cohesion (i.e., the degree to which family members help each other, characterized by strong emotional bonds and feelings of closeness, support, caring, and affection), expressiveness (i.e., the degree to which family members are allowed to communicate freely with each other and express their feelings), and conflict (i.e., the degree to which tension, anger, hostility, criticism, and aggressiveness are openly expressed among family members; Moos et al., 1974 ).
These indicators of family climate (especially family cohesion and conflict) are shown to have strong implications for adolescents’ social, emotional, and behavioral adjustment. Family cohesion, in particular, has been associated with the experience of more meaning and purpose in life, higher levels of subjective wellbeing and life satisfaction, and lower levels of depression and suicidal ideation (Deng et al., 2006 ; Fosco & Lydon-Staley, 2020 ; Lau & Kwok, 2000 ; White et al., 2014 ). In contrast, adolescents in conflictive families are more prone to develop both internalizing and externalizing problems such as depression, anxiety, behavior problems, and lower levels of life satisfaction and purpose in life (Deng et al., 2006 ; Formoso et al., 2000 ; Fosco & Lydon-Staley, 2020 ). Moreover, developmental reductions in family cohesion or increments in family conflict during early adolescence put adolescents at risk of antisocial behavior, depression, and substance use (Fosco et al., 2016 ). Besides, family expressiveness has been related to higher global self-worth (White et al., 2014 ) and lower symptoms of depression and anxiety (Lau & Kwok, 2000 ).
Together with contextual and family indicators, adolescents’ wellbeing relies on personal resources that help promote life satisfaction and protect against lower mental health. One of these resources is emotional intelligence (EI), a psychological construct consistently linked to better physical and mental health, subjective wellbeing, and interpersonal functioning (Mayer et al., 2008 ; Zeidner et al., 2012 ). From an ability perspective, EI encompasses four basic emotional skills: the ability to perceive emotions in oneself and in others, to access and generate emotions to facilitate different types of reasoning, to understand emotions, and to regulate emotions (Mayer & Salovey, 1997 ). Among adolescents, recent systematic reviews and meta-analyses have revealed that EI helps promote wellbeing (Llamas-Díaz et al., 2022 ). Recent studies with adolescents have clearly demonstrated a consistently positive relationship between EI and life satisfaction (García et al., 2020 ; López-Zafra et al., 2019 ; Quintana-Orts et al., 2021 ).
Likewise, EI has been found to reduce psychological maladjustment (Resurrección et al., 2014 ). For instance, a systematic review offers evidence that EI competences might help diminish adolescents’ suicidal behavior by changing their approach to negative life stressors (Domínguez-García & Fernández-Berrocal, 2018 ). Similarly, cross-sectional studies have shown the protective role of EI among adolescents who were victims of child sexual abuse by reducing the probability of suicidal ideation and suicide attempts (Cha & Nock, 2009 ), and the probability of adolescents suffering bullying by decreasing depressive symptoms and suicidal ideation (Quintana-Orts et al., 2019 ). Also, a four-month prospective study found that positive and negative affects mediated the relationship between EI and adolescents’ suicidal ideation (Extremera et al., 2023 ). These findings support the protective role of EI in suicidal ideation and behavior among adolescents, suggesting that EI may reduce these symptoms either directly or indirectly through its effects on affectivity.
Although there is consistent support for the individual role of EI dimensions and family climate in adolescents’ life satisfaction and suicidal vulnerability, it remains unclear whether these personal resources and contextual factors could have a joint effect on the two mental health indicators. Knowing this combined influence would help provide some insight into the mechanisms involved in adolescents’ mental health and thus help in the design of integrative and effective preventive strategies. Therefore, the purpose of the current study was to explore whether family climate would moderate the link between EI and psychological adjustment in a large sample of adolescents. Specifically, the potential moderator role of family climate on indicators of psychological adjustment (life satisfaction) and maladjustment (suicidal ideation) was tested.
According to the literature, we expected EI, family cohesion, and family expressiveness to be positively associated with life satisfaction and negatively associated with suicidal ideation, and family conflict to be negatively related to life satisfaction and positively related to suicidal ideation. Conversely, and in agreement with the interactive model, we expected that family climate might moderate these relationships. Particularly, we expected that family cohesion and expressiveness might boost the protective role of EI against the development of suicidal ideation among adolescents, while family conflict diminished that role. Additionally, we expected that family cohesion and expressiveness might increase the role of EI in promoting life satisfaction, while family conflict attenuated that role.
The sample comprised 2,722 adolescents (52.8% female, 46.1% male, 0.3% non-binary gender, and 0.8% non-reported). The mean age was around 14 years ( M age = 14.11; SD = 1.42), ranging from 12 to 18 years. Participants were recruited from fifteen secondary school centers in Southern Spain, selected using a convenience sampling method after headteachers were informed of the study's objectives and voluntarily agreed to participate. Families or legal guardians provided informed consent before adolescents participated. Participants were informed about the study's voluntary and confidential nature. They completed questionnaires in the presence of postgraduate and doctoral students in psychology, who were part of the research group. Assessments took place in classrooms during regular school hours with at least one researcher and one teacher present. The study adhered to the Declaration of Helsinki (Holm, 2013 ) and was approved by the Ethical Committee of the University of Malaga (62–2016-H).
The control variables included age and gender. Additionally, well validated measures were employed to assess the main study variables.
Emotional intelligence was measured using the Spanish version of the Wong and Law Emotional Intelligence Scale (Extremera et al., 2019 ; Wong & Law, 2002 ), which appraises four EI aspects: perception of one´s own emotions, perception of other´s emotions, use of emotions, and regulation of one´s emotions. Participants self-reported their overall EI across 16 items using a seven-point response scale ranging from 1 (totally disagree) to 7 (totally agree). An example item is: “I have good understanding of my own emotions” (self-emotion appraisal). Reliability in this study was good (α = 0.86).
Family climate was assessed using the Spanish version of the Family Environment Scale (FES; Fernández-Ballesteros & Sierra, 1989 ). This instrument consists of 28 true–false items that assess the quality of family relationships within three domains: cohesion, expressiveness, and conflict. An example item of cohesion is: “Family members really help and support each other”. An instance item of expressiveness is: “Family members will often keep their feelings to themselves”. Finally, an example item of conflict is: “We fight a lot in our by family”. Reliability in this study was good for cohesion (α = 0.87) and acceptable for expressiveness (α = 0.67) and conflict (α = 0.67).
Suicidal ideation was measured with the Spanish version of the Frequency of Suicidal Ideation Inventory (FSII; Chang & Chang, 2016 ; Sánchez-Álvarez et al., 2020 ). This five-item self-report measure assessed the frequency of participants' suicidal thoughts over the past 12 months using a five-point Likert-type scale, ranging from 1 (never) to 5 (almost every day). An example item is: “Over the past 12 months, how often have you believed that your life was not worth living?” The reliability in this study was excellent (α = 0.92).
Life satisfaction was assessed using the Spanish version of the Satisfaction with Life Scale (SWLS; Atienza et al., 2003 ; Diener et al., 1985 ). This five-item self-report instrument consisted of self-referencing statements on perceived global satisfaction, employing a five-point Likert-type scale ranging from 1 (totally disagree) to 7 (totally agree). An example item is: “In most ways my life is close to by ideal”. The reliability in this study was good (α = 0.83).
Firstly, we conducted descriptive statistics and correlation analyses using SPSS 26.0. Secondly, we assessed the incremental validity of family climate dimensions in relation to adolescents' suicidal ideation and life satisfaction while controlling for age, gender, and EI effects through regression analyses. In each model, we added variables in three steps. Initially, age and gender served as covariates. Next, we included the overall EI score. Lastly, we incorporated the three family climate dimensions. Thirdly, we examined the interaction between family climate dimensions and EI as predictors of adolescents' suicidal ideation and life satisfaction. Specifically, we tested the family climate dimensions as moderators ( W ) in the relationships between EI (the predictor variable, X ), suicidal ideation, and life satisfaction (the dependent variables, Y ). For each dependent variable, we conducted three separate moderator models using Model 1 of the SPSS macro PROCESS 4.2. As per standard procedures, we calculated bias-corrected 95 percent confidence intervals using 5,000 bootstrapping resamples. Age and gender were included as control variables, and all continuous predictors were centered to mitigate potential multicollinearity issues.
The results of correlation analyses among the main study variables are presented in Table 1 . As seen, EI showed positive associations with cohesion, expressiveness, and life satisfaction, while displaying negative associations with conflict and suicidal ideation. Furthermore, cohesion and expressiveness exhibited negative associations with suicidal ideation and positive associations with life satisfaction. In contrast, conflict was positively correlated with suicidal ideation and negatively correlated with life satisfaction.
In terms of the results concerning the incremental validity of family climate dimensions in predicting suicidal ideation and life satisfaction, the primary data are presented in Table 2 . Gender, EI, and family climate dimensions emerged as significant predictors of suicidal ideation. Family climate dimensions accounted for an additional 8 percent of the variance in suicidal ideation after controlling for other predictors. The complete model explained 22 percent of the variance in suicidal ideation ( R 2 = 0.22, F (3, 2715) = 126.71, p < 0.001). Similarly, for life satisfaction, all variables included in the model contributed to explaining the variance. Family climate dimensions added an extra 8 percent to the explanation of variance in life satisfaction, even after controlling for other predictors. In total, the model accounted for 29 percent of the variance in life satisfaction ( R 2 = 0.29, F (3, 2715) = 184.74, p < 0.001).
Regarding moderation results with suicidal ideation as the outcome, the results are shown in Table 3 . In sum, gender, EI, and family climate dimensions were significant predictors of suicidal ideation. Moreover, EI and family climate dimensions showed significant interactions in predicting suicidal ideation. Firstly, the interaction between EI and cohesion was significant and accounted for 0.05 percent of additional variance in suicidal ideation after controlling for the effects of the covariates and the main effects of the study variables (ΔR 2 = 0.005, F = 16.22, p < 0.001). Simple slopes were illustrated following standard procedures (Hayes, 2022 ). Figure 1 shows the link between EI and suicidal ideation at low and high levels of cohesion. As seen, the negative association between adolescents’ EI and suicidal ideation with low levels of cohesion (b = − 0.27, p < 0.001) was found to be stronger than for those adolescents scoring higher in cohesion (b = − 0.14, p < 0.001).
Relationship between emotional intelligence and family climate dimensions (cohesion and expressiveness) to explain suicidal ideation
Secondly, the interaction between EI and expressiveness was significant and accounted for 0.3 percent of additional variance in suicidal ideation after controlling for the effects of the covariates and the main effects of the study variables (ΔR 2 = 0.003, F = 11.91, p < 0.001). As Fig. 1 shows, the negative association between adolescents’ EI and suicidal ideation at low levels of expressiveness (b = − 0.27, p < 0.001) was stronger than for those adolescents scoring higher in expressiveness (b = − 0.15, p < 0.001).
Thirdly, the interaction between EI and conflict was significant and accounted for 0.3 percent of additional variance in suicidal ideation after controlling for the effects of the covariates and the main effects of the study variables (ΔR 2 = 0.003, F = 11.20, p < 0.001). Figure 2 shows the link between EI and suicidal ideation at low and high levels of conflict. As seen, the negative association between adolescents’ EI and suicidal ideation at low levels of conflict (b = − 0.16, p < 0.001) was weaker than for those adolescents scoring higher in conflict (b = − 0.26, p < 0.001).
Relationship between emotional intelligence and family conflict dimension to explain suicidal ideation and life satisfaction
The moderation results with life satisfaction as the outcome are shown in Table 4 . In sum, gender, age, EI, and family climate dimensions were significant predictors of life satisfaction. Furthermore, the interaction between EI and conflict was the only significant interaction, accounting for 0.2 percent of additional variance in life satisfaction after controlling for the effects of the covariates and the main effects of the study variables (ΔR 2 = 0.002, F = 6.88, p < 0.01). The link between EI and life satisfaction at low and high levels of conflict is displayed in Fig. 2 . As seen, the positive association between adolescents’ EI and life satisfaction at low levels of conflict (b = 0.39, p < 0.001) was found to be weaker than for those adolescents scoring higher in conflict (b = 0.49, p < 0.001).
This study examined the role of family climate in the relationship between EI and indicators of psychological adjustment and maladjustment. The purpose was threefold: (1) to examine the relationships among the study variables; (2) to determine the extent to which personal and contextual dimensions account for life satisfaction and suicidal ideation; and (3) to analyze the potential moderating effects of dimensions of family climate on the links between EI and suicidal ideation and between EI and life satisfaction.
Significant correlations were found between the study variables. The results showed that conflict was positively associated with suicidal ideation, while cohesion and expressiveness were positively associated with life satisfaction. This finding should be considered in conjunction with the results for EI. Hence, while EI was negatively related to conflict and suicidal ideation, it was positively related to cohesion, expressiveness, and life satisfaction. These findings strengthen prior evidence of the protective role of EI on psychological wellbeing and interpersonal functioning in adolescence (Llamas-Díaz et al., 2022 ; Tejada-Gallardo et al., 2022 ).
The present study revealed that adolescents with lower EI reported a higher tendency toward suicidal ideation, and perceived greater tension, hostility, or aggressiveness in interactions with their families. Common life experiences in different domains (school, social life, family) can trigger intensely stressful episodes that some adolescents are either not able to cope with or do through risky behaviors (Galindo-Domínguez & Losada-Iglesias, 2023 ; Valois et al., 2015 ).
Recent systematic reviews have underlined that the most influential risk factors for suicidality in adolescence can be categorized into internal (e.g., lack of coping skills, unhealthy lifestyles) and external (e.g., family conflicts and other stressors in social contexts) (Ati et al., 2021 ; Fonseca-Pedrero et al., 2022 ). Studies with non-clinical samples of adolescents have found that deliberate self-harm and suicidal behavior are maladaptive strategies for coping with negative emotions or perceived problems (Xiao et al., 2022 ). Therefore, family problems are considered a stressful life event which may exceed the coping strategies of some adolescents, becoming an important precipitating factor for suicidality (Carballo et al., 2020 ). This relationship, in turn, becomes more pronounced in adolescents with low EI (Galindo-Domínguez & Losada-Iglesias, 2023 ). In contrast, adolescents with increased EI are not only able to identify and manage their emotions and those of others, but also demonstrate understanding the underlying causes of these emotions (Llamas-Díaz et al., 2022 ). Consequently, high EI might lead to adaptative coping with these adverse events (Trigueros et al., 2019 ).
The results of linear regression and moderated analyses showed the protective role of EI against suicidal ideation by integrating the moderating effect of the different family climate dimensions. As expected, the results showed the predictive value of EI and family climate on positive and negative outcomes among adolescents. On the one hand, regarding suicidal ideation, significant interactions were found between EI and each of the dimensions of family climate. On the other hand, regarding life satisfaction, only a significant interaction effect between EI and dimension conflict was found.
Concerning suicidal ideation, in those adolescents who perceived a positive family climate (high cohesion and/or high expressiveness), the negative relationship between EI and suicidal ideation was strengthened. However, this relationship was weakened in adolescents who perceived a negative family climate (high conflict). In other words, high levels of EI and a subjectively positive family climate contributed to reduce suicidal ideation. The opposite pattern was found for adolescents with low levels of EI and high family conflict. Prior research has also found that family climate may have a greater impact on the risk of suicidal ideation than connectivity with peers or teachers (Joiner, 2005 ; Miller et al., 2015 ). During adolescence, the functionality of the family system and the perceived availability of support between the members have great weight in positive development (Barragán et al., 2021 ; Freed et al., 2016 ). In a recent study, a family climate with limited communication increased suicide attempts among adolescents (Dávila-Cervantes & Luna-Contreras, 2019 ). Parent–child conflict is also highlighted as the precipitant more commonly reported among youths (Wasserman et al., 2021 ). Conversely, those families characterized by effective communication skills tend to cope more adaptively with everyday stressors (Chen et al., 2017 ). An important body of research confirms that perceived family support plays a crucial role in the relationship between EI and suicidal ideation, finding that adolescents with high EI evaluate others’ actions and emotions more effectively, and perceive the reinforcement, empathy, active listening, or respect from their teachers and family (Galindo-Domínguez & Losada-Iglesias, 2023 ).
Based on these findings, it can be asserted that perceived emotional support among family members when coping with individual or family problems (cohesion) (Fosco et al., 2016 ), or families whose members verbalize their feelings (expressiveness), contribute to developmental adjustment and protect against self-harm (Fortune et al., 2016 ). Therefore, family climate is depicted as a significant protective factor against different life stressors and associated symptoms, including suicidal ideation.
Concerning life satisfaction, only the interaction between EI and conflict was significant in that the positive association between EI and life satisfaction was weakened in those adolescents who perceived high levels of conflict in their families. Both the positive relationship between EI and life satisfaction and the positive role that social support has in this relationship are well established in recent studies (Azpiazu et al., 2023 ). Research exploring EI suggests that increasing positive emotions and improving emotional regulation improve prosocial behaviors and social reactions among adolescents (Van der Graaff et al., 2018 ). Consequently, increased EI leads to a more constructive interpersonal conflict resolution (Garaigordobil, 2020 ). Thus, those adolescents who perceived their family as a source of support and affection showed higher levels of life satisfaction (Fosco & Lydon-Staley, 2020 ; Schnettler et al., 2018 ). However, when the family climate is perceived as conflictive or tense, adolescents’ EI might not be enough to increase levels of life satisfaction. This would explain the significant interaction between EI and family conflict and the absence of significant interactions between EI and cohesion and expressiveness in our moderation model. However, as these findings are novel, conclusions should be drawn cautiously. These potential explanations and underlying mechanisms merit further investigation in experimental and prospective research.
Despite the promising findings in this study, some limitations should be mentioned. Firstly, we examined social dimensions perceived by adolescents but did not examine other peer-reported sources of information such as family members. It should be remarked that in this phase of development, relationships with family tend to be affected; therefore, some of the dimensions evaluated, such as conflict, could have exaggerated responses. Future studies should include measures other than self-report questionnaires. Secondly, this is a cross-sectional study and cannot stablish causality between study variables. For instance, according to the broaden-and-build model, positive emotions could also influence and broaden thought-action repertoires among adolescents, thereby facilitating increased resources. Therefore, future studies with longitudinal design would be needed to replicate the current exploratory findings with causal relationships among family dynamics, EI abilities, and well-being indicators. Finally, because the sample is non-representative, random and broader samples would be needed to generalize the results.
Nevertheless, despite the limitations, the results of this research have significant implications for the design of prevention and intervention programs. Suicide prevention strategies should consider the role of families in the development of positive mental health. Future interventions should consider training in the resolution of interpersonal problems such as family conflicts during adolescence since this could solve problems in an early stage of the process. Future research is also needed to explore the impact of family dynamics among adolescents at risk for mental health problems School counsellors working with at-risk adolescents should attempt to enhance both family social support networks and emotional abilities. Adolescents experiencing psychological maladjustment symptoms and lower wellbeing may benefit more from integrative school intervention programs through the creation of a supportive family climate. Besides, participation in EI interventions (Kotsou et al., 2019 ) may help adolescents at risk of suicidal ideation to develop increased emotional self-efficacy and more robust emotional strategies.
Since the frequency and specificity of suicidal ideation predicts subsequent suicide attempts, it is essential to identify those factors that increase positive adaptation among adolescents at risk. Research on the risk for suicidality in adolescents emphasizes peer coping-skills, maladaptive family environment, cognitive constriction, or emotional turmoil, among others. Based on this research, our study emphasized the significant role that the family plays in the link between adolescents ‘emotional abilities and wellbeing outcomes. These findings suggest that future EI intervention programs that specifically aim to improve wellbeing at school may use activities that give adolescents the opportunity to include family members in fostering socio-emotional skills at home, encourage adolescents’ positive feelings of cohesion and expressiveness, and reduce conflict within the family in all cases where need is indicated.
The data that support the findings of this study are openly available in the Institutional Repository of the University of Málaga, RiUMA] at https://doi.org/10.24310/riuma.29089 . Title: “Data family climate EI suicidal ideation life satisfaction”.
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This research has been supported by the R + D + i Project of the Ministry for Science and Innovation in Spain [PID2020-117006RB-I00], and the PAIDI Group CTS-1048 [Junta de Andalucía]. Funding for open access charge: Universidad de Málaga/CBUA.
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María Angeles Peláez-Fernández, Sergio Mérida-López & Natalio Extremera
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Ethics Case Study-11 : Emotional Intelligence
Radha was very proud of her father. He was a senior bureaucrat in the state and he was invited to every major functions in Radha’s school and colleges. She used to feel like a star on such occasions. She boasted about her father in her friends’ circle. It was not without reason as her father himself used to tell her his stories of honesty, integrity in administration from his personal experiences.
Radha was a brilliant student in her studies. She had many friends and some enemies too. Ramya was one of those enemies who was jealous of Radha and she constantly searched for an opportunity to hurt Radha with her acerbic taunts. Most of the times Radha avoided encountering Ramya inside the college campus.
When Radha was in her final year of graduation, just before her final exams, her father was arrested on charges of corruption and was sent to jail. This became a major news in the state and severely affected Radha mentally.
She did not want to write her exams as she felt embarrassed to go to college. But her friends and mother convinced her to give exams as it was very important for her future. As soon as Radha entered college, Ramya met her and started talking sarcastically about Radha’s father that how an honest father got arrested and how Radha had come to write exams in spite of a major crisis in her family. Ramya wryly asked Radha if her father had gone to jail to deliver lecture about honesty and integrity.
One of Radha’s close friends slapped Ramya there itself.
Radha was hurt by Ramya’s comments and not able to control her emotions she rushed out of college crying loudly. That day she did not give her exam. Next day she committed suicide at her home.
In the above example, Radha, Ramya and Radha’s friend who slapped Ramya all have displayed different shades of low emotional intelligence.
Analyze how each one of them would have behaved if they all had possessed high emotional intelligence? (250 Words)
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Sahney, Ruby 1,* ; Malhotra, Preeti 2 ; Mohanan, Akash 3
1 Department of Hospital Administration, Sir Ganga Ram Hospital, New Delhi, India
2 School of Management, GD Goenka University, Gurugram, Haryana, India
3 Department of Hospital Administration, DNB Resident Hospital Administration, Sir Ganga Ram Hospital, New Delhi, India
* Address for correspondence: Dr. Ruby Sahney, Joint Medical Superintendent, Sir Ganga Ram Hospital, New Delhi, India. E-mail: [email protected]
This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 4.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Emotional intelligence (EI), which includes self-awareness, self-management, social awareness and relationship management, is crucial for health-care professionals to deal with highly stressful and emotional situations. It makes it easier to recognise and regulate personal and patient emotions, as well as to make better decisions, manage stress, strengthen patient relationships and achieve better treatment outcomes. The pandemic underscored the need for EI training to boost healthcare professionals’ resilience, communication and efficacy in patient care. A complete approach encompassing support, motivation, protection, education and technology is recommended to improve healthcare workers’ well-being and prepare the healthcare system for future difficulties.
Emotional intelligence (EI) is an invisible yet powerful component of the healthcare industry. The importance of EI becomes apparent in the stressful environment of hospital life, where emotions frequently peak and problems abound. This feature is most noticeable in communication between medical personnel and patients, especially during unpleasant conversations. Medical personnel such as doctors, nurses and laboratory technicians must deal with the stress of their demanding occupations while avoiding burnout.
The COVID-19 pandemic has brought about new emotional complexities in the hospital settings. This crisis has placed financial, psychological and physical stress on healthcare professionals. During these volatile times, EI has become a crucial tool for healthcare professionals and everyone to manage these unexpected challenges properly. The pandemic has tested the endurance of the healthcare industry, leaving many staff members needing rest. In such situations, the importance of EI is evident. Here, we examine the relevance of EI for healthcare professionals and how it affects the individuals they contact.
While most people are familiar with the term intelligence quotient (IQ), EI may not be as common amongst healthcare professionals. Salovey and Mayer [ 1 ] first established the idea of EI in 1990, defining it as the ability to identify, control and evaluate the feelings of oneself and others, later popularised by psychologist Daniel–Goleman [ 2 ] in his book, which emphasised its essential qualities. EI has long been recognised as an important aspect of economic success. [ 3 ] Despite centuries of thinking that cognitive IQ is vital to success, recent research suggests otherwise. EI is highly linked to exceptional leadership qualities, job satisfaction and effective communication skills. [ 4 ]
Throughout the COVID-19 pandemic, healthcare organisations have faced growing complications and persistent challenges, emphasising the importance of healthcare leaders developing and applying EI abilities effectively. [ 5 ] Leaders with a strong foundation in EI are vital for navigating these problems, as they are skilled at constructively identifying, comprehending, managing and utilising their emotions. While there is widespread agreement on the importance of EI, the debate over the specific characteristics that define this skill continues. Mayer and Salovey’s four-branch model stands out as it provides an easy-to-understand approach to EI. It identifies four critical mental abilities required for healthcare leadership and practice: Self-awareness, self-management, social awareness/empathy and relationship management. [ 1 ] This framework provides an understanding of the practical applications of EI domains.
Awareness of emotions (self-awareness) is critical in healthcare, particularly during the COVID-19 pandemic. Self-awareness allows healthcare professionals to better understand themselves, how others see them and how they fit into a wider community. This is critical for people dealing with difficult emotional situations, such as worries regarding patient outcomes, the possibility of contracting the virus, feeling inadequate and arguments with co-workers. The intense demands of healthcare professionals, such as working long hours, closely caring for patients and operating in a high-pressure workplace, contribute to stress and the risk of burnout. Self-awareness is essential under these circumstances.
Research has shown that self-awareness can increase confidence, decision-making abilities and stress management. [ 6 ] Even though many of us believe we understand our emotions well, research shows that only a few people do so. [ 7 ] This discrepancy between what we think we know about our sentiments and facts could give rise to misunderstandings and premature, unfair decisions at work. Healthcare professionals can better understand their emotional reactions and those around them by thinking and asking probing questions about their feelings and thoughts, which helps them control their emotions and enhances their interactions with co-workers and patients.
Consider a doctor who is working hard during a pandemic and begins to show signs of exhaustion and burnout. Realisation of this is an important step. It encourages them to care for themselves by practising mindfulness or taking breaks. These behaviours offer them time to reflect on their well-being, find strategies to reduce stress and demonstrate the importance of self-awareness in healthcare. By understanding their emotional state, healthcare staff can better deal with the pandemic’s persistent pressures, such as lack of sleep and the emotional burden of constantly caring for patients. [ 8 ]
Self-management is vital for healthcare personnel because it allows them to deal with job issues thoughtfully and calmly, especially during difficult periods such as the COVID-19 pandemic. Pausing and thinking before reacting to and managing one’s emotions in difficult situations are essential skills in healthcare because the work is challenging and a lot is at stake [ Figure 1 ].
The brain contains components such as the amygdala and neocortex, which are essential for stress management. Our emotions can sometimes take over our logical reasoning, a phenomenon known as ‘emotional hijacking’, causing us to make rash decisions. Knowing this helps us understand why it is critical to have coping mechanisms for our immediate emotional reactions. [ 1 ] The ability to pause, think and choose a more considered answer benefits healthcare professionals’ health and further enhances patient care and safety.
The pandemic has highlighted the need for techniques to control emotions, [ 9 ] such as mindfulness and support from co-workers, to deal with the enormous stress and emotional strain that healthcare personnel face. [ 10 ] These strategies do more than simply make us feel better right now; they also help us gain strength over time, which is critical for dealing with current and future healthcare challenges.
Self-management has been linked to improved patient outcomes and fewer medical errors. For instance, surgeons adept at controlling their emotions and stress are less likely to experience problems that could endanger themselves and their patients. [ 11 ] Furthermore, mindfulness-based programmes have demonstrated favourable results in helping healthcare personnel better control their emotions, allowing them to cope with stress and maintain a high standard of care. [ 12 ]
Empathy, or the ability to comprehend and experience what others are going through, is essential for interacting with others, particularly in healthcare, enabling doctors and patients to build strong, meaningful interactions. The COVID-19 pandemic demonstrated the importance of empathy, as healthcare professionals were stressed and observed patients experiencing difficult times. According to previous studies, empathy declines amongst medical students and professionals as they advance in their jobs, perhaps due to a lack of compassionate role models to look forward to, [ 13 ] which affects the care they deliver and speaks to a bigger problem in how medical education and practice are structured, stressing the need for adjustments, including training.
Research has shown that empathy improves patient satisfaction and outcomes. [ 14 ] Simple behaviours, such as making eye contact, acknowledging patients’ feelings and communicating respectfully and effectively, particularly when conveying unpleasant news, are critical for improving patients’ experiences. These activities make patients feel better about their care and improve their long-term health outcomes.
The pandemic has brought attention to the lack of empathy and communication skills, demonstrating the urgent need to incorporate empathy into healthcare education and practice. [ 15 ] Training and emphasising patient-centred care show great promise for developing empathy amongst healthcare staff. Furthermore, the benefits of empathy, such as fewer legal claims against doctors and improved doctor–patient interactions, are critical to healthcare’s economic and social elements. [ 16 ]
Strong social skills are crucial in healthcare. These abilities, which include developing positive connections, resolving problems and leading teams, have become particularly important during the COVID-19 pandemic. This experience has demonstrated how important it is for healthcare professionals to manage their emotions and those of colleagues and patients. Maintaining high-quality care and preventing misinformation requires effective communication. According to previous studies, most complaints against doctors are due to poor communication rather than their competence in delivering medical care. [ 17 ] In addition, doctors with lower EI face legal actions more frequently, [ 18 ] demonstrating a direct link between high social skills and professional performance.
Conflicts in healthcare are often caused by how opinions are conveyed rather than the beliefs themselves. Creating an environment in which everyone feels heard and valued, even with opposing opinions, is critical for patient care and a happy workplace. The epidemic has also emphasised how healthcare teams perceive teamwork and communication differently, [ 19 ] highlighting the need for improved cooperation and understanding in teams comprising multiple specialities. Making eye contact, expressing interest and using body language are nonverbal communications that help connect with colleagues and patients. Improving these nonverbal signals can significantly affect how we collaborate and care for patients.
Reflecting on what we have learned from the epidemic, it is evident that healthcare needs to prioritise social skills to face future difficulties. Improving communication, EI and cooperation can help respond to crises and strengthen healthcare. Training healthcare professionals in these areas will result in enhanced patient care, fewer legal issues and a workplace that promotes high-quality healthcare.
Acknowledging and managing one’s emotions and those of others are crucial for the future, as healthcare professionals appreciate the significance of EI in their personal development, interpersonal interactions and work performance.
EI training for healthcare personnel is critical, especially concerning healthcare issues such as the COVID-19 pandemic. These problematic circumstances affect healthcare staff’s ability to cope with stress, communicate effectively and offer excellent patient care. A large body of research supports the notion that EI skills, which are critical for dealing with the emotional difficulties of healthcare, may be significantly improved with correct training programmes. Studies on trait or competency models of EI demonstrate that such training can increase EI levels while also improving healthcare professionals’ mental health, relationships and job performance. [ 20 ] This evidence points to the powerful impact of EI training, making healthcare professionals more equipped to meet the demands of their jobs with strength and compassion. [ 1 ]
Practical EI training frequently employs a variety of teaching modalities, including lectures, group discussions, demonstrations, role-playing and hands-on exercises, all conducted in a supportive group setting. This holistic method attempts to improve fundamental EI skills, such as understanding and recognising emotions, which are critical for patient care and teamwork. One prominent programme by Nelis et al . exemplifies this, with group sessions supplemented with personal diary keeping and bi-weekly emails to assist participants in using EI abilities in their daily work. [ 21 ] The mental health problems that healthcare professionals have experienced during the COVID-19 pandemic underscore the crucial need for a comprehensive plan to address these issues. This strategy should include support, motivation, safety, education and technology. [ 22 ] Supportive measures must bring together various stakeholders, including families, governments, communities, organisations and co-workers, to form a strong support network that fulfils persons’ emotional and psychological needs. [ 23 ]
Motivational initiatives are equally vital, including rewarding hard work, instilling a feeling of duty and promoting relaxation techniques to reduce psychological stress. [ 24 ] We must also be protected, which includes proper protective gear, access to nutritious food and water and time for rest and safe relaxation. [ 25 ] Education plays a pivotal role by using online platforms to offer psychological education, stress management and EI skill training, which not only aids professional growth but also boosts professional resilience. [ 26 ]
Technology and online services have become indispensable as a means to provide support while lowering infection risks and making better use of healthcare professionals’ time.
Telemedicine, video conferencing, social media and mobile health apps have grown in popularity for delivering education, counselling and support to healthcare professionals, allowing for a more adaptive and rapid response to their mental health needs. [ 27 ] Furthermore, artificial intelligence is emerging as a tool for identifying persons at risk of suicide or other emergencies, which will increase the support system for healthcare professionals during a pandemic. [ 28 ]
By adopting a comprehensive and diverse approach to the mental health and overall well-being of healthcare professionals, we can construct a stronger and more resilient healthcare system that is prepared to address current and future problems.
Incorporating EI training into healthcare professionals’ growth and development plans has become critical, particularly in light of global health problems such as the COVID-19 pandemic. Healthcare systems can meet the needs of employees by using a combination of supporting, motivational, protective, educational and technological methods, ensuring their mental health and overall well-being.
Reflecting on the lessons learned during the COVID-19 pandemic, it is evident that prioritising EI and mental health in healthcare professionals is critical to preparing for and handling future public health emergencies effectively. We are creating a more resilient system by allocating resources to improve EI amongst healthcare professionals. This system will survive crises while also being caring for, sensitive and efficient in meeting the requirements of patients and the community as a whole.
Conflicts of interest.
There are no conflicts of interest.
Cognitive intelligence; COVID-19; emotional intelligence
Wednesday, September 25, 2024 8:30 AM - 11:30 AM
Add to Calendar: Add to Calendar 2024-09-25 08:30:00 2024-09-25 11:30:00 Unleashing Leadership Potential in the Family through Emotional Intelligence Dr. Scott Taylor will discuss what it means to be a resonant leader and how to do this in the relationally dynamic setting of the family business. Click here for more detail. To register, email [email protected] or call Laura Bonnet at 216-368-1701. Family businesses are invited to attend a first program as our guests. The Center’s programs are designed exclusively for family businesses. We encourage you to attend as a family. On-Campus Weatherhead School of Management Weatherhead School of Management America/New_York public
Dr. Scott Taylor will discuss what it means to be a resonant leader and how to do this in the relationally dynamic setting of the family business. Click here for more detail.
To register, email [email protected] or call Laura Bonnet at 216-368-1701. Family businesses are invited to attend a first program as our guests.
The Center’s programs are designed exclusively for family businesses. We encourage you to attend as a family.
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Integrating emotional intelligence assessment and development into a six-month process for new managers world-wide, the FedEx Express team at their Global Learning Institute is building the skills and expertise for people-first leadership. The program is yielding an 8-11% increase in core leadership competencies, with over half the participants ...
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Emotional intelligence (EI) refers to the ability to perceive, express, understand, and manage emotions. ... However, this has not been the case in studies that synthesize their psychometric qualities, as well as those that describe their strengths and limitations. Therefore, there is a lack of studies that collect, with a wide review coverage ...
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This case study demonstrates how this approach can benefit a unit within an academic library. Using a community of practice approach to build a space for social learning creates an environment in which library workers are able to learn and practice the skills of emotional intelligence among their colleagues and within the context of the norms ...
People-First. By Joshua Freedman and Jimmy Daniel. Integrating emotional intelligence assessment and development into a six-month process for new managers world-wide, the FedEx Express team at their Global Learning Institute is building the skills and expertise for people-first leadership. The program is yielding an 8-11% increase in core ...
Emotional Intelligence Case Study. Alice has been working as Corporate Counsel for Sterling Enterprises (SE), a US-based manufacturing firm with global presence, for over 10 years. SE has a long-standing reputation as a company that stands by its core values (respect, integrity, and excellence). These values have defined how SE works with its ...
Emotional intelligence is the capacity for recognizing our own feelings and those of others, for motivating ourselves, and for managing emotions effectively in ourselves and others. An emotional competence is a learned capacity based on emotional intelligence that contributes to effective perfor-mance at work. 3. Bar-On (1997) believes that:
The study of the correlation between Emotional Intelligence (EI) and work performance is crucial for the organisation. Some of the organisations do not consider EI skills as the work performed. This study investigates the correlation between EI and the work performance of a telecommunication research company in Malaysia.
The Handbook for Developing Emotional and Social Intelligence features a wealth of case studies, best practices, and proven tools that show how emotional and social intelligence can be harnessed to deliver improved individual, team, and organization effectiveness. Written for executive coaches, consultants, workplace learning, and human resource professionals, this book is designed for anyone ...
The concept of empowerment can be understood by drawing upon approaches in organizational and social psychological theory (Bradbury-Jones et al., 2008; Casey et al., 2010).Significant research from an organizational perspective has been based on the work of Kanter (1995) suggesting that the leader's characteristics influence access to opportunity, resources, information, and support by ...
Jacobs et al. (2008) concluded in their study on the emotional health of teachers in South Africa that teachers need to be equipped with emotional intelligence to succeed in the face of adverse circumstances. Therefore, to build the needed capacity of world-class leaders for organizations or institutions, emotional intelligent skills needs to ...
Chapter 2. heory, Challenges, and New DirectionsMarina Fiori and Ashley K. Vesely-MailleferAbstract About 25. ears ago emotional intelligence (EI) was first introduced to the scientific community. In this chap. er, we provide a general framework for under-standing EI conceptualized as an ability. We start by identifying the origins of the ...
Emotional Intelligence (EI) emerged in the 1990s as an ability based construct analogous to general Intelligence. However, over the past 3 decades two further, conceptually distinct forms of EI have emerged (often termed "trait EI" and "mixed model EI") along with a large number of psychometric tools designed to measure these forms.
This is why investing in the development of emotional intelligence for all key managers is a critical success factor.". This study originally published April 3, 2013, updated Feb 5, 2019. This three-year case study at Amadori found a strong, significant link between the "hard" outcome of results and the "soft skills" of emotional ...
The following 19 points build a case for how emotional intelligence contributes to the bottom line in any work organization. Based on data from a variety of sources, it can be a valuable tool for HR practitioners and managers who need to make the case in their own organizations. ... The study included executives in Latin America, Germany, and ...
(1) Background: This study examines the mediating roles of work climate and perceived job stress on the relationship between emotional intelligence (EI) and job satisfaction using a serial mediation model in a sample of employees. Although EI is known to influence several organizational outcomes, its interaction with work climate and job stress is less well understood. (2) Methods: The PROCESS ...
Training is based on deep-dive EI activities, such as mindfulness and meditation, as well as empathy and compassion exercises to strengthen their relationship with guests. Employees are entrusted ...
In a study of 350 nurses, higher emotional intelligence scores positively affected performance, career-length, and retention scores. Codier, Freel, Kamikawa, Kooker, & Shoultz. Emotional intelligence, performance, and retention in clinical staff nurses. Nursing Administration Quarterly; Oct-Dec 33(4): 310-316, (2009). 6.
This quantitative, correlative study examined the relationships between emotional intelligence (EI), burnout, perceived stress, coping strategy approaches, and dimensions of burnout in nurses According to many in the healthcare industry, the U.S. is facing a potential nursing crisis by 2030. Research has indicated that inadequate staffing leads to heavier workloads that contribute to higher ...
Objective: This aim of this study was to determine which variables from the demographic data most affect the EI regarding the COVID-19 outbreak and the lockdown amongst the nursing and midwifery students in Jordan. Background: Emotional intelligence (EI) is the ability to recognize, express, comprehend, motivate, influence and regulate emotions proposed the first EI model, which includes three ...
While findings have documented the association between emotional intelligence, life satisfaction, and suicidal ideation among adolescents, few studies have investigated the moderating effect of family climate on the association. This study examined the moderating effect of family cohesion, expressiveness, and conflict on the relationships between emotional intelligence, life satisfaction, and ...
Ethics Case Study-11: Emotional Intelligence. Ethics Case Study-11: Emotional Intelligence. Radha was very proud of her father. He was a senior bureaucrat in the state and he was invited to every major functions in Radha's school and colleges. She used to feel like a star on such occasions.
Emotional intelligence (EI), which includes self-awareness, self-management, social awareness and relationship management, is crucial for health-care professionals to deal with highly stressful and emotional situations. ... Studies on trait or competency models of EI demonstrate that such training can increase EI levels while also improving ...
Add to Calendar: Add to Calendar 2024-09-25 08:30:00 2024-09-25 11:30:00 Unleashing Leadership Potential in the Family through Emotional Intelligence Dr. Scott Taylor will discuss what it means to be a resonant leader and how to do this in the relationally dynamic setting of the family business. Click here for more detail. To register, email [email protected] or call Laura Bonnet at 216 ...